This paper identifies two conceptions of security in contemporary concerns over the vulnerability of computers and networks to hostile attack. One is derived from individual-focused conceptions of computer security developed in computer science and engineering. The other is informed by the concerns of national security agencies of government as well as those of corporate intellectual property owners. A comparative evaluation of these two conceptions utilizes the theoretical construct of “securitization,”developed by the Copenhagen School of International (...) Relations. (shrink)

Computer users are often the last line of defense in computer security. However, with repeated exposures to system messages and computer security warnings, neural and behavioral responses show evidence of habituation. Habituation has been demonstrated at a neural level as repetition suppression where responses are attenuated with subsequent repetitions. In the brain, repetition suppression to visual stimuli has been demonstrated in multiple cortical areas, including the occipital lobe and medial temporal lobe. Prior research into the (...) repetition suppression effect has generally focused on a single repetition and has not examined the pattern of signal suppression with repeated exposures. We used complex, everyday stimuli, in the form of images of computer programs or security warning messages, to examine the repetition suppression effect across repeated exposures. The use of computer warnings as stimuli also allowed us to examine the activation of learned fearful stimuli. We observed widespread linear decreases in activation with repeated exposures, suggesting that repetition suppression continues after the first repetition. Further, we found greater activation for warning messages compared to neutral images in the anterior insula, pre-supplemental motor area, and inferior frontal gyrus, suggesting differential processing of security warning messages. However, the repetition suppression effect was similar in these regions for both warning messages and neutral images. Additionally, we observed an increase of activation in the default mode network with repeated exposures, suggestive of increased mind wandering with continuing habituation. (shrink)

Unlike human soldiers, autonomous weapons systems are unaffected by psychological factors that would cause them to act outside the chain of command. This is a compelling moral justification for their development and eventual deployment in war. To achieve this level of sophistication, the software that runs AWS will have to first solve two problems: the frame problem and the representation problem. Solutions to these problems will inevitably involve complex software. Complex software will create security risks and will make AWS (...) critically vulnerable to hacking. I claim that the political and tactical consequences of hacked AWS far outweigh the purported advantages of AWS not being affected by psychological factors and always following orders. Therefore, one of the moral justifications for the deployment of AWS is undermined. (shrink)

PurposeThe purpose of this paper is to analyze information security assessment in terms of cultural categories and virtue ethics, in order to explain the cultural origin of certain types of security vulnerabilities, as well as to enable a proactive attitude towards preventing such vulnerabilities.Design/methodology/approachVulnerabilities in information security are compared to the concept of “monster” introduced by Martijntje Smits in philosophy of technology. The applicability of different strategies for dealing with monsters to information security is discussed, and (...) the strategies are linked to attitudes in virtue ethics.FindingsIt is concluded that the present approach can form the basis for dealing proactively with unknown future vulnerabilities in information security.Research limitations/implicationsThe research presented here does not define a stepwise approach for implementation of the recommended strategy in practice. This is future work.Practical implicationsThe results of this paper enable computer experts to rethink their attitude towards security threats, thereby reshaping their practices.Originality/valueThis paper provides an alternative anthropological framework for descriptive and normative analysis of information security problems, which does not rely on the objectivity of risk. (shrink)

An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Data privacy and security as a big challenge in current Internet of Things (IoT) applications, as with the increase in number of connecting devices, these devices are now more vulnerable to security threats. An intelligent fuzzy logic and blockchain technology is implemented for timely analysis and securing the network. The proposed design consists (...) of various sensors that collect real-time data from environment and field such as temperature, soil moisture, light intensity, and humidity. The sensed field information is stored in IoT cloud platform, and after the analysis of entries, watering is scheduled by implementing the intelligent fuzzy logic and blockchain. The intelligent fuzzy logic based on different set of rules for making smart decisions to meet the watering requirements of plant and blockchain technology provides necessary security to the IoT-enabled system. The implementation of blockchain technology allows access only to the trusted devices and manages the network. From the experimentation, it is observed that the proposed system is highly scalable and secure. Multiple users at the same time can monitor and interact with the system remotely by using the proposed intelligent agricultural system. The decisions are taken by applying intelligent fuzzy logic based on input variables, and an alert is transmitted about watering requirements of a field to the user. The proposed system is capable of notifying users for turning water motor on and off. The experimental outcomes of the proposed system also reveal that it is an efficient and highly secure application, which is capable of handling the process of watering the plants. (shrink)

This aricle discusses the similarity between the propagation of pathogens (viruses and worms) on computer networks and the proliferation of pathogens in cellular organisms (organisms with genetic material contained within a membrane-encased nucleus). It introduces several biological mechanisms which are used in these organisms to protect against such pathogens and presents security models for networked computers inspired by several biological paradigms, including genomics (RNA interference), proteomics (pathway mapping), and physiology (immune system). In addition, the study of epidemiological models (...) for disease control can inspire methods for controlling the spread of pathogens across multiple nodes of a network. It also presents results based on the authors’ research in immune system modeling. (shrink)

This clear and accessible textbook and its associated website offer a state of the art introduction to the burgeoning field of computer ethics and professional responsibility. Includes discussion of hot topics such as the history of computing; the social context of computing; methods of ethical analysis; professional responsibility and codes of ethics; computer security, risks and liabilities; computer crime, viruses and hacking; data protection and privacy; intellectual property and the “open source” movement; global ethics and the (...) internet Introduces key issues and concepts at the start of each section, and features classroom-tested study questions, and lists of useful websites and further reading Provides a wealth of relevant case studies, and an easy-to learn case-analysis technique Is accompanied by a website, offering sample student answers, additional study questions, example case analyses, and discussion forums. (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)

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)

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)

Video surveillance plays a vital role in maintaining the social security although, until now, large uncertainty still exists in danger understanding and recognition, which can be partly attributed to intractable environment changes in the backgrounds. This article presents a brain-inspired computing of attention value of surrounding environment changes with a processes-based cognition model by introducing a ratio valueλof EC-implications within considered periods. Theoretical models for computation of warning level of EC-implications to the universal video recognition efficiency are further established. (...) Imbedding proposed models into the online algorithms is suggested as a future research priority towards precision security for critical applications and, furthermore, schemes for a practical implementation of such integration are also preliminarily discussed. (shrink)

This article analyzes computer security rhetoric, particularly in the United States, arguing that dominant cultural understandings of immunology, sexuality, legality, citizenship, and capitalism powerfully shape the way computer viruses are construed and combated. Drawing on popular and technical handbooks, articles, and Web sites, as well as on e-mail interviews with security professionals, the author explores how discussions of computer viruses lean on analogies from immunology and in the process often encode popular anxieties about AIDS. (...) class='Hi'>Computer security rhetoric about compromised networks also uses language reminiscent of that used to describe the “bodies” of nation-states under military threat from without and within. Such language portrays viruses using images of foreignness, illegality, and otherness. The security response to viruses advocates the virtues of the flexible and adaptive response—a rhetoric that depends on evolutionary language but also on the ideological idiom of advanced capitalism. (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)

This Ph.D. thesis explores a novel way of thinking about computation in cognitive science. It argues for what I call ‘the mechanistic account of wide computationalism’, or simply wide mechanistic computation. The key claim is that some cognitive and perceptual abilities are produced by or are the result of computational mechanisms that are, in part, located outside the individual; that computational systems, the ones that form the proper units of analysis in cognitive science, are particular types of functional mechanisms that, (...) on occasion, spread out across brain, body, and world. Wide mechanistic computation is the result of bringing together two distinct strands of thinking about computation: ‘wide’ views, which hold that computational systems can, on occasion, include parts of the surrounding environment; and ‘mechanistic’ views, which hold that computational explanation is a species of mechanistic explanation, and that computational mechanisms are a special type of functional mechanism. I argue that wide mechanistic computation draws support from several sources. First, I examine research on animal and human psychology and show that several organisms’ behaviours are properly treated as being the output of wide computational mechanisms. Second, I defend the view from several philosophical charges, including worries about its explanatory parsimony and empirical testability. Finally, I argue for the view’s theoretical credentials by showing that it can help resolve specific problems that have recently troubled 4E cognition. The result is an argument for not only the coherence but also empirical plausibility of wide mechanistic computation. On route to its main objective, the thesis also accomplishes a number of related tasks, including: providing a framework for organising and conceptualising different views of computation, securing the conceptual foundations of mechanistic computation by addressing an outstanding challenge called the ‘abstraction problem’, sounding a cautionary note about recent predictive processing accounts of extended cognition and arguing against a particular conception of levels often used within cognitive science, what is labelled the ‘hierarchical correspondence view of levels’. (shrink)

The innovation of the deep learning modeling scheme plays an important role in promoting the research of complex problems handled with artificial intelligence in smart cities and the development of the next generation of information technology. With the widespread use of smart interactive devices and systems, the exponential growth of data volume and the complex modeling requirements increase the difficulty of deep learning modeling, and the classical centralized deep learning modeling scheme has encountered bottlenecks in the improvement of model performance (...) and the diversification of smart application scenarios. The parallel processing system in deep learning links the virtual information space with the physical world, although the distributed deep learning research has become a crucial concern with its unique advantages in training efficiency, and improving the availability of trained models and preventing privacy disclosure are still the main challenges faced by related research. To address these above issues in distributed deep learning, this research developed a clonal selective optimization system based on the federated learning framework for the model training process involving large-scale data. This system adopts the heuristic clonal selective strategy in local model optimization and optimizes the effect of federated training. First of all, this process enhances the adaptability and robustness of the federated learning scheme and improves the modeling performance and training efficiency. Furthermore, this research attempts to improve the privacy security defense capability of the federated learning scheme for big data through differential privacy preprocessing. The simulation results show that the proposed clonal selection optimization system based on federated learning has significant optimization ability on model basic performance, stability, and privacy. (shrink)

Advances in AI are powering increasingly precise and widespread computational propaganda, posing serious threats to national security. The military and intelligence communities are starting to discuss ways to engage in this space, but the path forward is still unclear. These developments raise pressing ethical questions, about which existing ethics frameworks are silent. Understanding these challenges through the lens of “cognitive security,” we argue, offers a promising approach.

Public communication is secure if a hostile third-party cannot decode the messages exchanged by the communicating parties. In Nash equilibrium, communication by computationally unbounded players cannot be secure. We assume complexity averse players, and show that a simple, secure, and costless communication protocol becomes available as the marginal complexity cost tends to zero.

Internet of Things-based environments pose various challenges due to their anytime/anywhere computing, and the efficient cryptographic based key management is one of the major challenges in Internet of Things. The key management life cycle consists of initialization, key generation, key registration, key backup, key update, key recovery, and key revocation. Our contribution in this paper is to summarize the state-of-the-art key management schemes and techniques in different scenarios, such as mobile ad hoc networks, wireless sensor networks, and the Internet of (...) Things environments. Further different issues related specifically to the Internet of Things environment are discussed and the causes and effects pertaining to the security breach for Internet of Things are identified. Furthermore, in this research work, we develop a novel permutation of threshold and identity-based key management schemes for the Internet of Things environment and have proposed future directions to counteract the attacks on confidentiality, integrity, authentication, and availability of security services in the Internet of Things environment and identified the two key management schemes, that is, identity and threshold schemes for Internet of Things, to resolve Internet of Things key management issues and maximum possible security services effective implementation. We evaluate our scheme with the help of mathematical and statistical techniques. (shrink)

This chapter contains sections titled: Approaches in Computer Ethics Topics in Computer Ethics Moral Responsibility Other Topics References and Further Reading.

We study access control policies based on the says operator by introducing a logical framework called Fibred Security Language (FSL) which is able to deal with features like joint responsibility between sets of principals and to identify them by means of first-order formulas. FSL is based on a multimodal logic methodology. We first discuss the main contributions from the expressiveness point of view, we give semantics for the language (both for classical and intuitionistic fragment), we then prove that in (...) order to express well-known properties like 'speaks-for' or 'hand- off', defined in terms of says, we do not need second-order logic (unlike previous approaches) but a decidable fragment of first-order logic suffices. We propose a model-driven study of the says axiomatization by constraining the Kripke models in order to respect desirable security properties, we study how existing access control logics can be translated into FSL and we give completeness for the logic. (shrink)

Brain Computer Interfaces (BCIs) enable one to control peripheral ICT and robotic devices by processing brain activity on-line. The potential usefulness of BCI systems, initially demonstrated in rehabilitation medicine, is now being explored in education, entertainment, intensive workflow monitoring, security, and training. Ethical issues arising in connection with these investigations are triaged taking into account technological imminence and pervasiveness of BCI technologies. By focussing on imminent technological developments, ethical reflection is informatively grounded into realistic protocols of brain-to-computer (...) communication. In particular, it is argued that human-machine adaptation and shared control distinctively shape autonomy and responsibility issues in current BCI interaction environments. Novel personhood issues are identified and analyzed too. These notably concern (i) the “sub-personal” use of human beings in BCI-enabled cooperative problem solving, and (ii) the pro-active protection of personal identity which BCI rehabilitation therapies may afford, in the light of so-called motor theories of thinking, for the benefit of patients affected by severe motor disabilities. (shrink)

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)

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)

This book is an edited collection of original research papers on the digital revolution of the public and governance. It covers cyber governance in Finland, and the securitization of cyber security in Finland. It investigates the cases of Brexit, the 2016 US presidential election of Donald Trump, the 2017 presidential election of Volodymyr Zelensky, and Brexit. It examines the environmental concerns of climate change and greenwashing, and the impact of digital communication giving rise to the #MeToo and Incel movements. (...) It considers how digitilization can serve to emancipate women through ride-sharing, and how it leads to the question of robot rights. It considers fake news and algorithmic governance with respect to case studies of the Chinese social credit system, the US FICO credit score, along with Facebook, Twitter, Cambridge Analytica and the European effort to regulate and protect data usage. (shrink)

New technology develops with little attention to its impact upon human values. In particular, let us do what we can in this era of “the computer revolution” to see that computer technology advances human values. True enough, we could argue endlessly over the meanings of terms like “privacy,” “health,” “security,” “fairness,” or “ownership.” Philosophers do it all the time – and ought to. But people understand such values well enough to desire and even to treasure them. We (...) do not need absolute clarity or unattainable unanimity before we do anything to advance them. Professional groups are both technical and moral communities because in order to be self-regulatory the members must set shared goals and specify appropriate ways to achieve them. In order to specify these appropriatestandards it is necessary to detail what types of behavior are ethically acceptable or not. The three most important functions of a code, he notes, identify different types of codes. Codes are either primarily (1) aspirational, giving ideals to strive for, (2) educational, intending to educate or socialize some constituency, or (3) regulatory, hoping to sanction violations of the standards. Most codes are intended to achieve all three aims to some degree, but a careful examination may reveal a concentration upon one of these. Advancements in computer technology over the past twenty years have created ethical dilemmas, some similar toother professions and some unique to the computer field. Because of the questions that have been raised, and in some instances sensational news accounts of computer irregularities, including fraud, there is a growing perception that self-regulation may be the only means by which the computer professional associations will prevent governments from intervening to regulate the computer profession. (shrink)

The aim of this paper is to explore the development of brain-computer interfacing and cloudminds as possible future scenarios. I describe potential applications such as selling unused brain processing cycles and the blockchaining of personality functions. The possibility of ubiquitous brain-computer interfaces that are continuously connected to the Internet suggests interesting options for our future selves. Questions about what it is to be human; the nature of our current existence and interaction with reality; and how things might be (...) different could become more prominent. I examine speculative future scenarios such as digital selves and cloudmind collaborations. Applications could be adopted in tiers of advancing complexity and risk; starting with health tracking; followed by information seeking and entertainment; and finally; self-actualization. By linking brains to the Internet; BCIs could allow individuals to be more highly connectable not just to communications networks but also to other minds; and thus could enable participation in new kinds of collective applications such as a cloudmind. A cloudmind is the concept of multiple individual minds joined together to pursue a collaborative goal such as problem solving; idea generation; creative expression; or entertainment. The prospect of cloudminds raises questions about individual versus collective personhood. Some of the necessary conditions for individuals to feel comfortable in joining a cloudmind include privacy; security; reversibility; and retention of personal identity. Blockchain technology might be employed to orchestrate the security; automation; coordination; and credit-assignation requirements of cloudmind collaborations. (shrink)

Current formal mathematics, being divorced from the empirical, is entirely a social construct, so that mathematical theorems are no more secure than the cultural belief in two-valued logic, incorrectly regarded as universal. Computer technology, by enhancing the ability to calculate, has put pressure on this social construct, since proof-oriented formal mathematics is awkward for computation, while computational mathematics is regarded as epistemo-logically insecure. Historically, a similar epistemological fissure between computational/practical Indian mathematics and formal/spiritual Western mathematics persisted for centuries, during (...) a dialogue of civilizations, when texts on "algorismus" and "infinitesimal" calculus were imported into Europe, enhancing the ability to calculate. It is argued here that this epistemological tension should be resolved by accepting mathematics as empirically based and fallible, and by revising accordingly the mathematics syllabus outlined by Plato. (shrink)

The rapid advancement of information technology in modern societies affects the way we live, communicate, work, and entertain. Computers and computer networks formulate an information age in which traditional ethical questions are re-examined and new questions arise concerning moral standards for human behavior. Computer Ethics: A Global Perspective presents a clear and concise introduction to the ethical and social issues sparked by our ever-growing information society at the local and global level. Designed for use as a main text (...) in undergraduate and graduate courses that focus on computer, business, and applied ethics, the text is also ideal for the Information Technology in a Global Society course for the International Baccalaureate diploma. The text considers the impact of digitized information on individuals and societies and includes discussions on privacy, reliability, security, intellectual property, control, equality of access, and authenticity, with insights from the scientists and philosophers who have attempted to evaluate, explain, and resolve these issues. The text also discusses the social impact of information technology in different areas of human life such as business, health, education, entertainment and politics. (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)

Research from the fields of criminology and social psychology suggests that the deterrent effect of security countermeasures is not uniform across individuals. In this study, we examine whether certain individual characteristics (i. e., computer self-efficacy) or work arrangement (i. e., virtual status) moderate the influence of security policies, security education, training, and awareness (SETA) program, and computer monitoring on information systems misuse. The results suggest that computer savvy individuals are less deterred by SETA programs (...) and computer monitoring, while these countermeasures are also less influential (from a deterrence perspective) on employees that spend more working days outside the office. Implications for both the research and practice of information security are discussed. (shrink)

Current formal mathematics, being divorced from the empirical, is entirely a social construct, so that mathematical theorems are no more secure than the cultural belief in two-valued logic, incorrectly regarded as universal. Computer technology, by enhancing the ability to calculate, has put pressure on this social construct, since proof-oriented formal mathematics is awkward for computation, while computational mathematics is regarded as epistemo-logically insecure. Historically, a similar epistemological fissure between computational/practical Indian mathematics and formal/spiritual Western mathematics persisted for centuries, during (...) a dialogue of civilizations, when texts on "algorismus" and "infinitesimal" calculus were imported into Europe, enhancing the ability to calculate. It is argued here that this epistemological tension should be resolved by accepting mathematics as empirically based and fallible, and by revising accordingly the mathematics syllabus outlined by Plato. (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)

This article is the result of an international research between law and ethics scholars from Universities in France and Switzerland, who have been closely collaborating with technical experts on the design and use of information and communication technologies in the fields of human health and security. The interdisciplinary approach is a unique feature and guarantees important new insights in the social, ethical and legal implications of these technologies for the individual and society as a whole. Its aim is to (...) shed light on the tension between secrecy and transparency in the digital era. A special focus is put from the perspectives of psychology, medical ethics and European law on the contradiction between individuals’ motivations for consented processing of personal data and their fears about unknown disclosure, transferal and sharing of personal data via information and communication technologies (named the “privacy paradox”). Potential benefits and harms for the individual and society resulting from the use of computers, mobile phones, the Internet and social media are being discussed. Furthermore, the authors point out the ethical and legal limitations inherent to the processing of personal data in a democratic society governed by the rule of law. Finally, they seek to demonstrate that the impact of information and communication technology use on the individuals’ well-being, the latter being closely correlated with a high level of fundamental rights protection in Europe, is a promising feature of the socalled “e-democracy” as a new way to collectively attribute meaning to large-scale online actions, motivations and ideas. (shrink)

Prior to the year 2001, the phenomenon of Internet criminal fraud was not globally associated with Nigeria. Since then, however, the country had acquired a world-wide notoriety in criminal activities, especially financial scams, facilitated through the use of the Internet. This is not to say that computer-related crimes were alien to the country. It is, however, remarkable that the perpetration of cyber crimes involving Nigerians and traceable to Nigeria became so rampant that questions might be legitimately raised as to (...) why the problem became so pronounced from around that year. It is further remarkable that the attempt to launch Nigeria into the digital age coincided with the unprecedented rise in computer-related financial crimes in the country. In this paper, it is argued that the problem arose as a direct consequence of the lapses in the 2001 National Policy for Information Technology (NPFIT). The argument is based on an analysis of the various provisions of the Policy, with specific focus on the lack of proactive security provisions in it and in its subsequent implementation, in the wider context of global experiences of, and efforts to deal with, cyber security breaches as at the time of the formulation and implementation of the NPFIT. (shrink)

Intentionalism must be distinguished from computational psychology. The former is a mentalist-realist metatheoretical stance vis-a-vis the latter, which is a research programme devoted to the construction of informationally-characterized simulation models for human behavior, perception, cognition, etc. Intentionalism has its attractive aspects, but unfortunately it is plagued by severe conceptual difficulties. Recent attempts to justify the intentionalist interpretation of computational models, by J.A. Fodor and by C. Graves, J.J. Katz et al., fail to secure a conceptually adequate and genuinely intentional sense (...) for the intentional idiom they employ. (shrink)

We describe some of the ways that the field of content analysis is being transformed in an Era of Big Data. We argue that content analysis, from its beginning, has been concerned with extracting the main meanings of a text and mapping those meanings onto the space of a textual corpus. In contrast, we suggest that the emergence of new styles of text mining tools is creating an opportunity to develop a different kind of content analysis that we describe as (...) a computational hermeneutics. Here the goal is to go beyond a mapping of the main meaning of a text to mimic the kinds of questions and concerns that have traditionally been the focus of a hermeneutically grounded close reading, a reading that focuses on what Kenneth Burke described as the poetic meanings of a text. We illustrate this approach by referring to our own work concerning the rhetorical character of US National Security Strategy documents. (shrink)

Computers and new information technologies have greatly increased the power of surveillance by government and large corporate entities. The state is a repository of a growing array of data bases that provide it with information on its citizens. Corporations also now possess increasing power to accumulate information on potential consumers. This power to collect information is significant and can be instrumental in securing loans, insurance, and credit; increases the power of law enforcement agencies; makes possible surveillance of workers and the (...) workplace by managers; and provides information on consumer habits and preferences that can be useful to the marketing and promotion of consumer goods. The intensifying computerization of information raises important questions concerning privacy and individual rights in the current information revolution, such as: who collects what kind of information, what is done with this information, and what rights do individuals have concerning privacy and the circulation of information about them? (shrink)