The Snowden revelations and the emergence of ‘Big Data’ have rekindled questions about how security practices are deployed in a digital age and with what political effects. While critical scholars have drawn attention to the social, political and legal challenges to these practices, the debates in computer and information science have received less analytical attention. This paper proposes to take seriously the critical knowledge developed in information and computer science and reinterpret their debates to develop a critical intervention (...) into the public controversies concerning data-driven security and digital surveillance. The paper offers a two-pronged contribution: on the one hand, we challenge the credibility of security professionals’ discourses in light of the knowledge that they supposedly mobilize; on the other, we argue for a series of conceptual moves around data, human–computer relations, and algorithms to address some of the limitations of existing engagements with the Big Data-security assemblage. (shrink)

Artificial intelligence (AI) technologies in medicine are gradually changing biomedical research and patient care. High expectations and promises from novel AI applications aiming to positively impact society raise new ethical considerations for patients and caregivers who use these technologies. Based on a qualitative content analysis of semi-structured interviews and focus groups with healthcare professionals (HCPs), patients, and family members of patients with Parkinson’s Disease (PD), the present study investigates participant views on the comparative benefits and problems of using human versus (...) AI predictive computer vision health monitoring, as well as participants’ ethical concerns regarding these technologies. Participants presumed that AI monitoring would enhance information sharing and treatment, but voiced concerns about data ownership, data protection, commercialization of patient data, and privacy at home. They highlighted that privacy issues at home and data security issues are often linked and should be investigated together. Findings may help technologists, HCPs, and policymakers determine how to incorporate stakeholders’ intersecting but divergent concerns into developing and implementing AI PD monitoring tools. (shrink)

Purpose This study aims to ascertain the impact of data collecting awareness on perceived information security concerns and information-sharing behavior on social networking sites. Design/methodology/approach Based on communication privacy management theory, the study forecasted the relationship between information-sharing behavior and awareness of data collecting purposes, data collection tactics and perceived security risk using structural equation modeling analysis and one-way ANOVA. The sample size of 521 young social media users in Vietnam, ages 18 to 34, was (...) made up of 26.7% men and 73.3% women. When constructing the questionnaire survey method with lone source respondents, the individual’s unique awareness and experiences with using online social networks (OSNs) were taken into account. Findings The results of the investigation demonstrate a significant relationship between information-sharing and awareness of data collecting, perceptions of information security threats and behavior. Social media users have used OSN privacy settings and paid attention to the sharing restriction because they are concerned about data harvesting. Research limitations/implications This study was conducted among young Vietnamese social media users, reflecting specific characteristics prevalent in the Vietnamese environment, and hence may be invalid in other nations’ circumstances. Practical implications Social media platform providers should improve user connectivity by implementing transparent privacy policies that allow users to choose how their data are used; have clear privacy statements and specific policies governing the use of social media users’ data that respect users’ consent to use their data; and thoroughly communicate how they collect and use user data while promptly detecting any potential vulnerabilities within their systems. Originality/value The authors ascertain that the material presented in this manuscript will not infringe upon any statutory copyright and that the manuscript will not be submitted elsewhere while under Journal of Information, Communication and Ethics in Society review. (shrink)

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different (...) machine learning algorithm, and finally using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success. (shrink)

This paper presents the results of an empirical study that reflects monitoring and evaluation of the implementation of some legal acts on the labour of the Republic of Lithuania. The analysis of legal documents at the national and international level is provided. A review of cognate studies conducted by foreign and Lithuanian researchers is presented and the professional situation of a Lithuanian teacher from the employee rights perspective is highlighted. The professional activities contexts and sectors, wherein systematic violations of teachers’ (...) rights to a healthy and safe working environment are possible, are distinguished. A lack of generalized scientific data of employee (especially teacher) working conditions, the actual security of relevant rights and its monitoring and evaluation is still felt both in the country and abroad. A contradiction between: a) insufficient research of the issue and b) its importance to science and practice, exactly presupposes the scientific problems of the empirical study presented in the given paper. The subject of the study: teachers’ rights to a healthy and safe working environment and a fair remuneration for their work. The objective of the study: to conduct monitoring and evaluation of the effective implementation of relevant legal norms and legal acts applying a written sociological survey. The study is based on the results of a mass country-wide written survey of teachers. (shrink)

The paper discusses the problems in the detection of security information in legal and other administrative data. The authors analyse the prospects of the use of datamining in the solution of two key problems: abundance and indirectness of these data. Security research uses two kinds of data. The first one is scientific data, designed and gathered specially for the verification of certain security theories. They are the data of criminological, sociological, psychological surveys, (...) experimental data, etc. The second kind is data that are not designed for security research. Most of the data are the by-products of the national legal system, especially its criminal justice, of national and local institutions responsible for the maintenance of public order, and of other public agencies. All the data provide huge amounts of information destined to control and direct the activities of these institutions. There are two kinds of problems in the use of this information in security study. First, this information has to be ‘decoded’ from data describing the activities of related institutions. Second, data on security are lost in huge amounts of other public data. Thus, they have to be ‘mined’. The paper discusses the prospects of the modern information proceeding method—data-mining in the solution of both problems. A new concept of data mining as a meta-procedure is proposed. The object of this meta-procedure is supposed to be the integration of multiple current theories (for example, criminal security) and related statistical procedures. A general algorithm of such data-mining is proposed. (shrink)

From ‘connecting the dots’ and finding ‘the needle in the haystack’ to predictive policing and data mining for counterinsurgency, security professionals have increasingly adopted the language and methods of computing for the purposes of prediction. Digital devices and big data appear to offer answers to a wide array of problems of (in)security by promising insights into unknown futures. This article investigates the transformation of prediction today by placing it within governmental apparatuses of discipline, biopower and big (...) data. Unlike disciplinary and biopolitical governmentality, we argue that prediction with big data is underpinned by the production of a different time/space of ‘between-ness’. The digital mode of prediction with big data reconfigures how we are governed today, which we illustrate through an analysis of how predictive policing actualizes between-ness as hotspots and near-real-time decisions. (shrink)

Bowman-Smart et al. (2023) outlined the scenario that with the content expansion of noninvasive prenatal testing (NIPT) in the future, its application is not limited to the screening for aneuploidi...

This study explored the global cyberspace security issues, with the purpose of breaking the stereotype of people’s cognition of cyberspace problems, which reflects the relationship between interdependence and association. Based on the Apriori algorithm in association rules, a total of 181 strong rules were mined from 40 target websites and 56,096 web pages were associated with global cyberspace security. Moreover, this study analyzed support, confidence, promotion, leverage, and reliability to achieve comprehensive coverage of data. A total of (...) 15,661 sites mentioned cyberspace security-related words from the total sample of 22,493 professional websites, accounting for 69.6%, while only 735 sites mentioned cyberspace security-related words from the total sample of 33,603 non-professional sites, accounting for 2%. Due to restrictions of language, the number of samples of target professional websites and non-target websites is limited. Meanwhile, the number of selections of strong rules is not satisfactory. Nowadays, the cores of global cyberspace security issues include internet sovereignty, cyberspace security, cyber attack, cyber crime, data leakage, and data protection. (shrink)

In order to correct the deficiencies of intrusion detection technology, the entire computer and network security system are needed to be more perfect. This work proposes an improved k-means algorithm and an improved Apriori algorithm applied in data mining technology to detect network intrusion and security maintenance. The classical KDDCUP99 dataset has been utilized in this work for performing the experimentation with the improved algorithms. The algorithm’s detection rate and false alarm rate are compared with the experimental (...) data before the improvement. The outcomes of proposed algorithms are analyzed in terms of various simulation parameters like average time, false alarm rate, absolute error as well as accuracy value. The results show that the improved algorithm advances the detection efficiency and accuracy using the designed detection model. The improved and tested detection model is then applied to a new intrusion detection system. After intrusion detection experiments, the experimental results show that the proposed system improves detection accuracy and reduces the false alarm rate. A significant improvement of 90.57% can be seen in detecting new attack type intrusion detection using the proposed algorithm. (shrink)

Security has become one of the important factors for any network communication and transmission of data packets. An organization with an optimal security system can lead to a successful business and can earn huge profit on the business they are doing. Different network devices are linked to route, compute, monitor, and communicate various real-time developments. The hackers are trying to attack the network and want to draw the organization’s significant information for its own profits. During the communication, (...) if an intrusion or eavesdropping occurs, it will lead to a severe disfigurement of the whole communication network, and the data will be controlled by wrong malicious users. Identification of attack is a way to identify the security violations and analyze the measures in a computer network. An identification system, which is effective and accurate, can add security to the existing system for secure and smooth communication among end to end nodes and can work efficiently in the identification of attack on data packets. The role of information security is to design and protect the entire data of networks and maintain its confidentiality, integrity, and availability for their right users. Therefore, there is a need for end to end security management, which will ensure the security and privacy of the network and will save the data inside networks from malicious users. As the network devices are growing, so the level of threats is also increasing for these devices. The proposed research is an endeavor toward the detection of data packets attack by using the rough set theory for a secure end to end communication. The experimental work was performed by the RSES tool. The accuracy of the K-NN was 88% for the total objects of 8459. For cross validation purposes, the decision rules and decomposition tree algorithms were used. The DR algorithm showed accuracy of 59.1%, while the DT showed accuracy of 61.5%. The experimental results of the proposed study show that the research is capable of detecting data packets attack. (shrink)

Collecting seeds and specimens was an integral aspect of botany and natural history in the eighteenth century. Historians have until recently paid less attention to the importance of collecting, trading and compiling knowledge of their cultivation, but knowing how to grow and maintain plants free from disease was crucial to agricultural and botanical projects. This is particularly true in the case of food security. At the close of the eighteenth century, European diets (particularly among the poor) began shifting from (...) wheat- to potato-dependence. In Britain and Ireland during these decades, extensive crop damage was caused by diseases like ‘curl’ and ‘dry rot’ – leading many agriculturists and journal editors to begin collecting data on potato cultivation in order to answer practical questions about the causes of disease and methods that might mitigate or even eliminate their appearance. Citizens not only produced the bulk of these data, but also used agricultural print culture and participation in surveys to shape and direct the interpretation of these data. This article explores this forgotten scientific ambition to harness agricultural citizen science in order to bring stability and renewed vitality to the potato plant and its cultivation. I argue that while many agriculturists did recognize that reliance upon the potato brought with it unique threats to the food supplies of Britain and Ireland, their views on this threat were wholly determined by the belief that the diseases attacking potato plants in Europe had largely been produced or encouraged by erroneous cultivation methods. (shrink)

Due to the complexity and versatility of network security alarm data, a cloud-based network security data extraction method is proposed to address the inability to effectively understand the network security situation. The information properties of the situation are generated by creating a set of spatial characteristics classification of network security knowledge, which is then used to analyze and optimize the processing of hybrid network security situation information using cloud computing technology and co-filtering technology. (...) Knowledge and information about the security situation of a hybrid network has been analyzed using cloud computing strategy. The simulation results show that a cyber security crash occurs in window 20, after which the protection index drops to window 500. The increase in the security index of 500 windows is consistent with the effectiveness of the concept of this document method, indicating that this document method can sense changes in the network security situation. Starting from the first attacked window, the defense index began to decrease. In order to simulate the added network defense, the network security events in the 295th time window were reduced in the original data, and the defense index increased significantly in the corresponding time period, which is consistent with the method perception results, which further verifies the effectiveness and reliability of this method on the network security event perception. This method provides high-precision knowledge of network security situations and improves the security and stability of cloud-based networks. (shrink)

The power grid is an important connection between power sources and users, responsible for supplying and distributing electric energy to users. Modern power grids are widely distributed and large in scale, and their security faces new problems and challenges. Information entropy theory is an objective weighting method that compares the information order of each evaluation index to judge the weight value. With the wide application of entropy theory in various disciplines, the subject of introducing entropy into the power system (...) has been gradually concerned. This article aims to study the smart terminal security technology of the power grid perception layer based on information entropy data mining. This article analyzes its related methods and designs a smart terminal for the power grid. On this basis, a data analysis platform is built and a safety plan is designed. The result is that the average absolute error, root mean square error, average absolute percentage error, and mean square error of the platform's power load forecast are 1.58, 1.96, 8.2%, and 3.93, respectively. These error values are within the ideal range, and the data processing ability is strong. The packet loss rate of the adversary's eavesdropping was tested, and the average packet loss rates at locations a, b, c, and d were 1.05, 1.2, 1.81, and 2.2%, respectively. Data packets will be definitely lost, so the platform is highly secure. (shrink)

In recent years, the network has become more complex, and the attacker’s ability to attack is gradually increasing. How to properly understand the network security situation and improve network security has become a very important issue. In order to study the method of extracting information about the security situation of the network based on cloud computing, we recommend the technology of knowledge of the network security situation based on the data extraction technology. It converts each (...) received cyber security event into a standard format that can be defined as multiple brochures, creating a general framework for the cyber security situation. According to the large nature of network security situation data, the Hadoop platform is used to extract aggregation rules, and perform model extraction, pattern analysis, and learning on a network security event dataset to complete network security situation rule mining, and establish a framework for assessing the state of network security. According to the results of the federal rule extraction, the level of network node security risk is obtained in combination with signal reliability, signal severity, resource impact, node protection level, and signal recovery factor. A simulation test is performed to obtain the intrusion index according to the source address of the network security alarm. Through the relevant experiments and analysis of the results, the attack characteristics obtained in this study were obtained after manually reducing the network security event in the 295 h window. The results show that after the security event is canceled, the corresponding window attack index decreases to 0, indicating that this method can effectively implement a network security situation awareness. The proposed technique allows you to accurately sense changes in network security conditions. (shrink)

High profile breaches of data security in government and other organizations are becoming an increasing concern amongst members of the public. Academic researchers have rarely discussed data security issues as they affect research, and this is especially the case for qualitative social researchers, who are sometimes disinclined to technical solutions. This paper describes 14 guidelines developed to help qualitative researchers improve the security of their digitally-created and stored data. We developed these procedures after the (...) theft of a laptop computer containing highly sensitive data from the home of a fieldworker. This paper introduces the ‘principle of proliferation’: digitally-created and stored files tend to proliferate during the course of a research project by virtue of fact that they can and are copied and shared as research progresses from data collection through to analysis and archive. Our guidelines were designed as concrete strategies that researchers embarking on a project can employ, particularly researchers working in teams, to accommodate this proliferation and reduce it where possible. (shrink)

Guided by the theories of system theory, synergetic theory, and other disciplines and based on fuzzy data mining algorithm, this article constructs a three-tier social security fund cloud audit platform. Firstly, the article systematically expounds the current situation of social security fund and social security fund audit, such as the technical basis of cloud computing and data mining. Combined with the actual work, the necessity and feasibility of building a cloud audit platform for social (...) class='Hi'>security funds are analyzed. This article focuses on the construction of the cloud audit platform for social security funds. The general idea of using fuzzy data mining algorithm to build the social security fund audit cloud platform is to compress the knowledge contained in a large number of data into the weights between nodes and optimize the weights through the learning of the neural network system. Through the optimization function, the information contained in the neural network is stored in a few weights as far as possible. The main information is further highlighted by network clipping and removing weights that have little impact on the output. (shrink)

The development of an information society and information technologies does not result in positive consequences only. Individuals with criminal intent also find their niche. Information security includes the creation of the input, processing and output processes of protection. The objective of information security is to protect the system of values, to protect and ensure accuracy and integrity and to minimize losses that may be incurred if the information is modified or destroyed. In the development of an information society, (...) the new visible changes in the legislation for the classification of crimes–crimes against computers–altered the concept of electronic crime data and information system security concepts. This article presents a brief analysis on the concept of the change of crimes against security of electronic data and information systems, the legislation analysis, the crimes against security of electronic data systems and information dynamics and its relationship with business factors. (shrink)

The presented paper focuses on the analysis of strategic documents at the level of the European Union concerning the regulation of artificial intelligence as one of the so-called disruptive technologies. In the first part of the article, we outline the basic terminology. Subsequently, we focus on the summarizing and systemizing of the key documents adopted at the EU level in terms of artificial intelligence regulation. The focus of the paper is devoted to issues of personal data protection and cyber (...) security included in these strategic documents. The final part contains recommendations for future research and evaluation of its key features. (shrink)

BackgroundThere is concern in the academic publishing community that it is becoming more difficult to secure reviews for peer-reviewed manuscripts, but much of this concern stems from anecdotal and rhetorical evidence.MethodsWe examined the proportion of review requests that led to a completed review over a 6-year period (2009–2015) in a mid-tier biology journal (Molecular Ecology). We also re-analyzed previously published data from four other mid-tier ecology journals (Functional Ecology, Journal of Ecology, Journal of Animal Ecology, and Journal of Applied (...) Ecology), looking at the same proportion over the period 2003 to 2010.ResultsThe data from Molecular Ecology showed no significant decrease through time in the proportion of requests that led to a review (proportion in 2009 = 0.47 (95 % CI = 0.43 to 0.52), proportion in 2015 = 0.44 (95 % CI = 0.40 to 0.48)). This proportion did decrease for three of the other ecology journals (changes in proportions from 2003 to 2010 = −0.10, −0.18, and −0.09), while the proportion for the fourth (Functional Ecology) stayed roughly constant (change in proportion = −0.04).ConclusionsOverall, our data suggest that reviewer agreement rates have probably declined slightly but not to the extent suggested by the anecdotal and rhetorical evidence. (shrink)

As a technique of social control based on the collection of information, surveillance has been a central instrument of any administrative power since the modern era. Surveillance, however, can be carried out in different ways and these can provide important information on the basic features of a particular political system. Indeed, the introduction of surveillance measures has an impact on key relationships of a political system, such as liberty and security, autonomy and authority. When a political system is, like (...) the European Union (EU), in a dynamic and build-up phase, by analysing its surveillance practices one can even discern the trajectories of its developments. The paper analyses two surveillance measures in the EU: the Schengen Information System (SIS) and the Directive 2006/24/EC on data retention. It puts forth the argument that the reference to security as a value enables the EU to compensate its legitimacy deficiencies and to develop into a power system characterised by a more supranational structure than before. (shrink)

Rapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass surveillance techniques that use bulk data collection and machine learning algorithms, we show why these methods are unlikely to pinpoint terrorists in order to prevent attacks. The diverse characteristics of terrorist attacks—especially (...) when considering lone-wolf terrorism—lead to irregular and isolated footprints. The irregularity of data affects the accuracy of machine learning algorithms and the mass surveillance that depends on them which can be explained by three kinds of known problems encountered in machine learning theory: class imbalance, the curse of dimensionality, and spurious correlations. Proponents of mass surveillance often invoke the distinction between collecting data and metadata, in which the latter is understood as a lesser breach of privacy. Their arguments commonly overlook the ambiguity in the definitions of data and metadata and ignore the ability of machine learning techniques to infer the former from the latter. Given the sparsity of datasets used for machine learning in counterterrorism and the privacy risks attendant with bulk data collection, policymakers and other relevant stakeholders should critically re-evaluate the likelihood of success of the algorithms and the collection of data on which they depend. (shrink)

The book examines the extent to which Chinese cyber and network security laws and policies act as a constraint on the emergence of Chinese entrepreneurialism and innovation. Specifically, how the contradictions and tensions between data localisation laws affect innovation in artificial intelligence. The book surveys the globalised R&D networks, and how the increasing use of open-source platforms by leading Chinese AI firms during 2017–2020, exacerbated the apparent contradiction between Network Sovereignty and Chinese innovation. The drafting of the Cyber (...) Security Law did not anticipate the changing nature of globalised AI innovation. It is argued that the deliberate deployment of what the book refers to as 'fuzzy logic' in drafting the Cyber Security Law allowed regulators to subsequently interpret key terms regarding data in that Law in a fluid and flexible fashion to benefit Chinese innovation. (shrink)

This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI’s profound impacts on cybersecurity. The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level (...) class='Hi'>security, and the emerging fields of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program. The book offers actionable insights and hands-on resources for anyone engaged in the rapidly evolving world of GenAI and cybersecurity. (shrink)

This book on privacy and data protection offers readers conceptual analysis as well as thoughtful discussion of issues, practices, and solutions. It features results of the seventh annual International Conference on Computers, Privacy, and Data Protection, CPDP 2014, held in Brussels January 2014. The book first examines profiling, a persistent core issue of data protection and privacy. It covers the emergence of profiling technologies, on-line behavioral tracking, and the impact of profiling on fundamental rights and values. Next, (...) the book looks at preventing privacy risks and harms through impact assessments. It contains discussions on the tools and methodologies for impact assessments as well as case studies. The book then goes on to cover the purported trade-off between privacy and security, ways to support privacy and data protection, and the controversial right to be forgotten, which offers individuals a means to oppose the often persistent digital memory of the web. Written during the process of the fundamental revision of the current EU data protection law by the Data Protection Package proposed by the European Commission, this interdisciplinary book presents both daring and prospective approaches. It will serve as an insightful resource for readers with an interest in privacy and data protection. (shrink)

Purpose: The research explored empirical evidence to assess the impact of cyber security and supply chain risk on digital operations in the UAE pharmaceutical industry. Methodology/Design/Approach: Based on responses from 243 personnel working at 14 pharmaceutical manufacturing companies in Dubai, data were examined for normality, instrument validity and regression analysis. Cyber security and SC risk on digital operations were explored by applying convenient sampling and descriptive and analytical research design. Findings: The findings validated the significant positive association (...) between cyber security and supply chain risk with digital operations. Research implications and Limitations: The research model was developed with three variables evaluated only on the pharmaceutical industry in Dubai. Future research should focus on multiple manufacturing industries by covering a larger geographic area. Practical implications: When suppliers are highly concentrated, customer-focused organisations with uncertain levels of digital transformation could improve their ability to manage supply chain risk by diversifying their clients. Pharmaceutical firms may require a greater focus on technology-based manufacturing firms to build and maintain customer trust. Originality Value: To illustrate how the pharmaceutical industry has explored the relationship between cyber security, supply chain risk and digital operations, the research highlights the significant and convoluted consequences of the relationship model that have not been previously considered. (shrink)

Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, (...) blockchain-based provenance, quantum-resistant algorithms, and human-guided reinforcement learning are analyzed as potential techniques to harden generative models. Broader ethical concerns surrounding transparency, accountability, deepfakes, and model interpretability are also addressed. The chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vulnerabilities, implications, and solutions is intended to further discourse on securing society’s growing reliance on generative models. Frontier model security is discussed using Anthropic proposed approach. (shrink)

Public consumption of artificial intelligence (AI) technologies has been rarely investigated from the perspective of data surveillance and security. We show that the technology acceptance model, when properly modified with security and surveillance fears about AI, builds an insight on how individuals begin to use, accept, or evaluate AI and its automated decisions. We conducted two studies, and found positive roles of perceived ease of use (PEOU) and perceived usefulness (PU). AI security concern, however, negatively affected (...) PEOU and PU, resulting in less acceptance of AI—(1) use, (2) preference, and (3) participation. AI surveillance concern also had negative effects on the credibility of AI and its recommendations. We integrated extant literature on socio-demographic differences, providing an insight on how AI acceptance is based on one’s rationality regarding (1) technological risks (security/surveillance) and (2) benefits (PEOU/PU) as well as other contextual factors of socio-demographics. (shrink)

I will argue that one class of issues in computer ethics oftenassociated with privacy and a putative right to privacy isbest-analyzed in terms that make no substantive reference toprivacy at all. These issues concern the way that networkedinformation technology creates new ways in which conventionalrights to personal security can be threatened. However onechooses to analyze rights, rights to secure person and propertywill be among the most basic, the least controversial, and themost universally recognized. A risk-based approach to theseissues provides (...) a clearer statement of what is ethicallyimportant, as well as what is ethically problematic. Once theissues of security have been articulated clearly, it becomespossible to make out genuine issues of privacy in contrast tothem. (shrink)

Moving away from simple data sharing within the science community towards cross-organizational collaboration scenarios significantly increased challenges related to security and privacy. They need to be addressed in order to make cross-organizational applications such as collaborative working environments a business proposition within communities such as eHealth, construction or manufacturing. Increasingly distributed scenarios where many different types of services need to be combined in order to implement semantically enriched business processes demand new approaches to security within such dynamic (...) Virtual Organizations. The allocation of access rights need to be possible in an easy and controlled way in order to allow inexperienced users to maintain the information and ensure compliance e.g. with legal and privacy related regulations. In this paper the focus is how security concepts originating from the Grid domain have been applied for collaborative working environments. The chosen scenarios are a Virtual Laboratory for Infectious Diseases (ViroLab) and different collaborative environments from the engineering domain as defined within the CoSpaces project. The requirements from these scenarios are analyzed and a security model enabling such dynamic, secure and trustworthy collaborations is presented. (shrink)

To date, we know very little about the effects of the differences in attachment classifications on the physiological correlates of stress regulation in adolescent age groups. The present study examined for the first time heart rate and heart rate variability during an attachment interview in adolescents. HR and HRV data were collected during a baseline assessment as well as during the administration of the Adult Attachment Projective Picture System in a community-based sample of 56 adolescents. We additionally used the (...) Adult Attachment Interview in 50% of our sample to test the convergent validity. Adolescents with a secure attachment representation showed a higher HRV from baseline to the AAP interview compared to those with an insecure-dismissing and the unresolved group. A comparison between the two insecure attachment groups showed no significant difference related to HR and HRV. Cohen’s Kappa revealed an almost perfect agreement between the AAP and the AAI for the four-group classification. Our results indicate that adolescents with a secure attachment representation are more capable of dealing with attachment-related distress which is represented in higher HRV during an attachment interview. (shrink)

In times of national crisis, citizens are often asked to trade liberty and privacy for security. And why not, it is argued, if we can obtain a fair amount of security for just a little privacy? The surveillance that enhances security need not be overly intrusive or life altering. It is not as if government agents need to physically search each and every suspect or those connected to a suspect. Advances in digital technology have made such surveillance (...) relatively unobtrusive. Video monitoring, global positioning systems, airport body scanners, and biometric technologies, along with data surveillance, provide law enforcement officials with monitoring tools, without also unduly burdening those being watched. Against this view are those who maintain that we should be worried about trading privacy for security. Criminals and terrorists, it is argued, are nowhere near as dangerous as governments. There are too many examples for us to deny Lord Acton’s dictum that “power tends to corrupt, and absolute power corrupts absolutely.” If information control yields power and total information awareness radically expands that power, then we have good reason to pause before trading privacy for security. (shrink)

The goal of the present research was to identify the mechanism through which job security exerts its different effects on organizational citizenship behaviors among contract and permanent employees from social identity and social exchange perspectives. Our research suggests two distinct, yet related explanatory mechanisms: organizational identification and psychological contract breach, to extend the job security literature by examining whether psychological contract breach and organization identity complement each other and explaining the mechanism of different behaviors response to job (...) class='Hi'>security across employment status. Data were collected from 211 Chinese employees and 61 supervisory ratings of OCBs. Our results showed that relative to psychological contract breach, organizational identification plays a stronger mediating role in the association between job security and OCBs. Evidence from multi-group analyses also suggested employment status moderated the mediation mechanism of organizational identification between job security and OCB. Implications for job security and hybrid employment management are discussed. (shrink)

This study departs from the built-in tension of the dual goals of forensic psychiatric care in Sweden, which are to protect society as well as to care for patients. The majority of violence that takes place is perpetrated by men. Therefore, the views of nursing staff on violence as a gendered phenomenon have an impact on the care provision. There is a need for further knowledge of how norms of violence are intertwined with the construction of gender. The aim of (...) this study was to use a gender perspective to demonstrate the views of nursing staff on security and care and the consequences for their relationships with patients. The study adopts an ethnographic approach, with data consisting of field notes from participatory observations and interviews with nursing staff at two maximum-security clinics. We show how the perceptions of nursing staff about gender relations are based on heteronormative thinking, which affects their practice. This implies that if gender is ignored in relation to the dual goals, there is a risk of perpetrating patterns of unequal conditions. Therefore, it is vital to make gender visible to counteract unequal conditions for nursing staff and address patients' individual care needs. (shrink)

The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, (...) the last few years have witnessed a rising concern for privacy. As bad data practices have come to light, citizens are starting to understand the real cost of using online digital technologies. Two events stamped 2018 as a landmark year for privacy: the Cambridge Analytica scandal, and the implementation of the European Union’s General Data Protection Regulation (GDPR). The former showed the extent to which personal data has been shared without data subjects’ knowledge and consent and many times for unacceptable purposes, such as swaying elections. The latter inaugurated the beginning of robust data protection regulation in the digital age. Getting privacy right is one of the biggest challenges of this new decade of the 21st century. The past year has shown that there is still much work to be done on privacy to tame the darkest aspects of the data economy. As data scandals continue to emerge, questions abound as to how to interpret and enforce regulation, how to design new and better laws, how to complement regulation with better ethics, and how to find technical solutions to data problems. The aim of the research project Data, Privacy, and the Individual is to contribute to a better understanding of the ethics of privacy and of differential privacy. The outcomes of the project are seven research papers on privacy, a survey, and this final report, which summarises each research paper, and goes on to offer a set of reflections and recommendations to implement best practices regarding privacy. (shrink)

In cloud security, intrusion detection system (IDS) is one of the challenging research areas. In a cloud environment, security incidents such as denial of service, scanning, malware code injection, virus, worm, and password cracking are getting usual. These attacks surely affect the company and may develop a financial loss if not distinguished in time. Therefore, securing the cloud from these types of attack is very much needed. To discover the problem, this paper suggests a novel IDS established on (...) a combination of a leader-based k-means clustering (LKM), optimal fuzzy logic system. Here, at first, the input dataset is grouped into clusters with the use of LKM. Then, cluster data are afforded to the fuzzy logic system (FLS). Here, normal and abnormal data are inquired by the FLS, while FLS training is done by the grey wolf optimization algorithm through maximizing the rules. The clouds simulator and NSL-Knowledge Discovery and DataBase (KDD) Cup 99 dataset are applied to inquire about the suggested method. Precision, recall, and F-measure are conceived as evaluation criteria. The obtained results have denoted the superiority of the suggested method in comparison with other methods. (shrink)

This article provides a critical review of new policies in China, the United States, and the European Union that characterize genomic data as a national strategic resource. Specifically, we review policies that regulate human genomic data for economic, national security, or other strategic purposes rather than ethical or individual rights purposes.

Social scientists and data analysts are increasingly making use of Big Data in their analyses. These data sets are often “found data” arising from purely observational sources rather than data derived under strict rules of a statistically designed experiment. However, since these large data sets easily meet the sample size requirements of most statistical procedures, they give analysts a false sense of security as they proceed to focus on employing traditional statistical methods. We (...) explain how most analyses performed on Big Data today lead to “precisely inaccurate” results that hide biases in the data but are easily overlooked due to the enhanced significance of the results created by the data size. Before any analyses are performed on large data sets, we recommend employing a simple data segmentation technique to control for some major components of observational data biases. These segments will help to improve the accuracy of the results. (shrink)

This paper discusses citizenship in Finnish religious education in relation to human security. It traces the characteristics of human security that connect citizenship, religion, and education in Finnish policy documents. The article focuses on basic education. Its data were analyzed employing qualitative content analysis. The findings indicate that citizenship in Finnish RE entails personal security concerns dealing with psychological and human rights issues. These are found to be essentially human security as conceptualized by the United (...) Nations. However, Finnish policy documents sparingly utilize human security in explicit terms. Finland rather emphasizes the practical applications of human security. Incorporation of explicit global citizen and human rights issues into RE in the new Finnish curriculum seems to project critical global citizenship. This is found to promote human security. Following Finland’s bid for practical application of human security, we recommend that human security be explicitly integrated into the Finnish RE curriculum. (shrink)

Focusing on the paradoxes revealed in the multibillion dollar mistake of the Universal Camouflage Pattern and the expansive ambit of a leaked National Security Agency briefing on its approach to “identity intelligence,” this article analyzes security glitches arising from the state’s application of mechanized logics to security and visibility. Presuming that a digital-looking pattern would be more deceptive than designs inspired by natural forms, in 2004, the US Army adopted a pixelated “digital” camouflage pattern, a print that (...) rendered soldiers more, rather than less, visible in the field; it acknowledged this error in 2012. Two years later, “Identity Intelligence: Image Is Everything” visualized the episteme of National Security Agency surveillance with an illustration detailing hundreds of different types of data—biometric, biographic, and contextual—that the agency believes it could exploit to identify and monitor “targets of interest.” These glitches originate in technofetishistic convictions about the nature of digital images and information, limited ways of imagining bodies and lives, and reductive understandings of complex relationships between power and perception. Together, they expose the paradoxes that arise as the state tries to extend its power over the body and the contingency of that power on the smallest of things. (shrink)

Making data broadly accessible is essential to creating a medical information commons. Transparency about data-sharing practices can cultivate trust among prospective and existing MIC participants. We present an analysis of 34 initiatives sharing DNA-derived data based on public information. We describe data-sharing practices captured, including practices related to consent, privacy and security, data access, oversight, and participant engagement. Our results reveal that data-sharing initiatives have some distance to go in achieving transparency.

“Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the (...) audience for this symposium is students and faculty in higher education institutions (HEIs), and the subject of this paper is data analytics in our own backyards. Higher education learning analytics (LA) is something that most of us involved in this symposium are familiar with. Students have encountered LA in their courses, in their interactions with their law school or with their undergraduate institutions, instructors use systems that collect information about their students, and administrators use information to help understand and steer their institutions. More importantly, though, data analytics in higher education is something that those of us participating in the symposium can actually control. Students can put pressure on administrators, and faculty often participate in university governance. Moreover, the systems in place in HEIs are more easily comprehensible to many of us because we work with them on a day-to-day basis. Students use systems as part of their course work, in their residences, in their libraries, and elsewhere. Faculty deploy course management systems (CMS) such as Desire2Learn, Moodle, Blackboard, and Canvas to structure their courses, and administrators use information gleaned from analytics systems to make operational decisions. If we (the participants in the symposium) indeed care about Individual and Informational Privacy in the Age of Big Data, the topic of this paper is a pretty good place to hone our thinking and put into practice our ideas. (shrink)

Health‐related data uses and data sharing have been in the spotlight for a while. Since the beginning of the big data era, massive data mining and its inherent possibilities have only increased the debate about what the limits are. Data governance is a relevant aspect addressed in ethics guidelines. In this context, the European project BRIDGE Health (BRidging Information and Data Generation for Evidence‐based Health policy and research) strove to achieve a comprehensive, integrated and (...) sustainable EU health‐information system. One of the aims of the project was to evaluate the requirements to construct a data‐linkage infrastructure for the secure management of health information. In a blueprint provided for this infrastructure, the topics ethics and the intimately related governance occupied a whole section, where the recent ethics guidelines by the Council for International Organizations of Medical Sciences (CIOMS) and the World Medical Association (WMA) were referenced. We explore what has changed in the latest versions of the ethics documents adopted by CIOMS and WMA regarding the management of health data and human tissues, the appropriateness of their application in new forms of research and infrastructures as the proposed in the BRIDGE Health project, and whether society should be so concerned about this topic, in the digital era of social exchange. (shrink)

The paper examines the connection between online security and the protection of civil rights from a legal viewpoint, that is, considering the different types of rights and interests that are at stake in national and international law and whether, and to what extent, they concern matters of balancing. Over the past years, the purpose of several laws, and legislative drafts such as ACTA, has been to impose “zero-sum games”. In light of current statutes, such as HADOPI in France, or (...) Digital Economy Act in UK, the paper intends to illustrate how more satisfactory solutions are feasible in the field of online security, such as the new “Police and Criminal Justice Data Protection Directive” that the European Commission presented in January 2012. At least in Western legal systems, it should be clear that either civil rights prevail over security (no balancing), or such balance has to satisfactorily protect individual rights (proportionality). (shrink)

Current approaches to cyber-security are not working. Rather than producing more security, we seem to be facing less and less. The reason for this is a multi-dimensional and multi-faceted security dilemma that extends beyond the state and its interaction with other states. It will be shown how the focus on the state and “its” security crowds out consideration for the security of the individual citizen, with detrimental effects on the security of the whole system. (...) The threat arising from cyberspace to (national) security is presented as possible disruption to a specific way of life, one building on information technologies and critical functions of infrastructures, with relatively little consideration for humans directly. This non-focus on people makes it easier for state actors to militarize cyber-security and (re-)assert their power in cyberspace, thereby overriding the different security needs of human beings in that space. Paradoxically, the use of cyberspace as a tool for national security, both in the dimension of war fighting and the dimension of mass-surveillance, has detrimental effects on the level of cyber-security globally. A solution out of this dilemma is a cyber-security policy that is decidedly anti-vulnerability and at the same time based on strong considerations for privacy and data protection. Such a security would have to be informed by an ethics of the infosphere that is based on the dignity of information related to human beings. (shrink)

This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was taught. We (...) also reviewed 12 data ethics frameworks drawn from different sectors. Finally, we reviewed an extensive and diverse body of literature about data practices, research ethics, data ethics and critical data literacy, in order to develop a transversal model that can be adopted across higher education. To promote and support ethical approaches to the collection and use of data, ethics training must go beyond securing informed consent to enable a critical understanding of the techno-centric environment and the intersecting hierarchies of power embedded in technology and data. By fostering ethics as a method, educators can enable research that protects vulnerable groups and empower communities. (shrink)

Given the importance of data safety for psychology, the present study investigated the influence of data leaking scandal on campus customers’ financial consumption behaviors at intelligent tourism platforms in China, and explored the roles that individual characteristics play in this process by focusing on a set of participants from colleges. Data were collected through sending out an online questionnaire, where respondents were asked to finish a series of questions about their background information, their trust, future consuming intention, (...) and defensive behaviors toward intelligent platforms. After they finished these questions, a short description about an online tourism platform leaking customers’ personal information was presented to the respondents, following which they were asked to report about their future consuming intentions and defensive behaviors again. In total, 236 participants of college students and teachers were recruited. Paired samples mean comparison showed that after the stimulus was presented, the respondents had a significant decrease in future financial consumption intention, and a significant increase in defensive behaviors toward online tourism platforms due to risks perceived. Multiple regression analysis was conducted subsequently to investigate individual characteristics that may account for part of the decrease in consuming intention. Results showed that, customers with higher level of trust and monthly income, as well as older customers, tend to experience higher level of decrease in consuming intention, and increase in defensive behaviors. These findings highlighted the importance of online tourism platforms guaranteeing data security of their customers. (shrink)

ObjectiveTo test the relationship between social security satisfaction, social fairness, social trust, and people’s subjective wellbeing in China and the serial mediation effect in this study.MethodsWe utilized the data from Chinese Social Survey in 2017 and 2019, involving 31 provinces across the country. There were 5,398 samples in 2017CSS and 2,580 samples in 2019CSS selected by the research objectives. There were 4,269 women and 3,709 men with the average age of participants being 43.ResultsThe results showed that the actual (...) status of social security satisfaction, social fairness and trust, and SWB were greater than the theoretical status overall. Social security satisfaction [β = 0.454, p < 0.001, 95% CI = ], social fairness [β = 0.065, p < 0.001, 95% CI = ], and social trust [β = 0.108, p < 0.001, 95% CI = ] positively influenced people’s SWB, respectively. Social fairness had a positive effect on social trust. Social fairness and social trust partly mediated the relationship between social security satisfaction and SWB, respectively. Social security satisfaction indirectly influenced SWB through the serial effect of social fairness and social trust. The total effect of SWB explained is 47% in the serial mediation model.ConclusionSatisfactory social security is likely to cause a high level of people’s SWB, social fairness, and social trust. It is beneficial to form a virtuous circle in society. Allowing people to obtain satisfactory social security is conducive to social equity, promoting social trust, and improving people’s SWB. (shrink)