Privacy: Algorithms and Society focuses on encryption technologies and privacy debates in journalistic crypto-cultures, countersurveillance technologies, digital advertising, and cellular location data. Important questions are raised such as: How much information will we be allowed to keep private through the use of encryption on our computational devices? What rights do we have to secure and personalized channels of communication, and how should those be balanced by the state's interests in maintaining order and degrading the capacity of criminals and rival state actors to organize through data channels? What new regimes may be required for states to conduct digital searches, and how does encryption act as countersurveillance? How have key debates relied on racialized social constructions in their discourse? What transformations in journalistic media and practices have occurred with the development of encryption tools? How are the digital footprints of consumers tracked and targeted? Scholars and students from many backgrounds as well as policy makers, journalists, and the general reading public will find a multidisciplinary approach to questions of privacy and encryption encompassing research from Communication, Sociology, Critical Data Studies, and Advertising and Public Relations.

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

This book examines how face recognition technology is affecting privacy and confidentiality in an era of enhanced surveillance. Further, it offers a new approach to the complex issues of privacy and confidentiality, by drawing on Joseph K in Kafka's disturbing novel The Trial, and on Isaiah Berlin's notion of liberty and freedom. Taking into consideration rights and wrongs, protection from harm associated with compulsory visibility, and the need for effective data protection law, the author promotes ethical practices by reinterpreting privacy as a property right. To protect this right, the author advocates the licensing of personal identifiable images where appropriate. The book reviews American, UK and European case law concerning privacy and confidentiality, the effect each case has had on the developing jurisprudence, and the ethical issues involved. As such, it offers a valuable resource for students of ethico-legal fields, professionals specialising in image rights law, policy-makers, and liberty advocates and activists.

Nearly two decades after the EU first enacted data protection rules, key questions about the nature and scope of this EU policy, and the harms it seeks to prevent, remain unanswered. The inclusion of a Right to Data Protection in the EU Charter has increased the salience of these questions, which must be addressed in order to ensure the legitimacy, effectiveness and development of this Charter right and the EU data protection regime more generally. The Foundations of EU Data Protection Law is a timely and important work which sheds new light on this neglected area of law, challenging the widespread assumption that data protection is merely a subset of the right to privacy. By positioning EU data protection law within a comprehensive conceptual framework, it argues that data protection has evolved from a regulatory instrument into a fundamental right in the EU legal order and that this right grants individuals more control over more forms of data than the right to privacy. It suggests that this dimension of the right to data protection should be explicitly recognised, while identifying the practical and conceptual limits of individual control over personal data. At a time when EU data protection law is sitting firmly in the international spotlight, this book offers academics, policy-makers, and practitioners a coherent vision for the future of this key policy and fundamental right in the EU legal order, and how best to realise it.

This book constitutes the thoroughly refereed post conference papers of the Second International Conference on Blockchain and Trustworthy Systems, Blocksys 2020, held in Dali, China*, in August 2020. The 42 full papers and the 11 short papers were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections: theories and algorithms for blockchain, performance optimization of blockchain, blockchain security and privacy, blockchain and cloud computing, blockchain and internet of things, blockchain and mobile edge computing, blockchain and smart contracts, blockchain and data mining, blockchain services and applications, trustworthy system development. *The conference was held virtually due to the COVID-19 pandemic.

This book explores a wide range of topics in digital ethics. It features 11 chapters that analyze the opportunities and the ethical challenges posed by digital innovation, delineate new approaches to solve them, and offer concrete guidance to harness the potential for good of digital technologies. The contributors are all members of the Digital Ethics Lab (the DELab), a research environment that draws on a wide range of academic traditions. The chapters highlight the inherently multidisciplinary nature of the subject, which cannot be separated from the epistemological foundations of the technologies themselves or the political implications of the requisite reforms. Coverage illustrates the importance of expert knowledge in the project of designing new reforms and political systems for the digital age. The contributions also show how this task requires a deep self-understanding of who we are as individuals and as a species. The questions raised here have ancient -- perhaps even timeless -- roots. The phenomena they address may be new. But, the contributors examine the fundamental concepts that undergird them: good and evil, justice and truth. Indeed, every epoch has its great challenges. The role of philosophy must be to redefine the meaning of these concepts in light of the particular challenges it faces. This is true also for the digital age. This book takes an important step towards redefining and re-implementing fundamental ethical concepts to this new era.

This contributed volume discusses diverse topics to demystify the rapidly emerging and evolving blockchain technology, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various business domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to this technology.

This book discusses the main legal and economic challenges to the creation and enforcement of security rights in intellectual property and explores possible avenues of reform, such as more specific rules for security in IP rights and better coordination between intellectual property law and secured transactions law. In the context of business financing, intellectual property rights are still only reluctantly used as collateral, and on a small scale. If they are used at all, it is mostly done in the form of a floating charge or some other "all-asset" security right. The only sector in which security rights in intellectual property play a major role, at least in some jurisdictions, is the financing of movies. On the other hand, it is virtually undisputed that security rights in intellectual property could be economically valuable, or even crucial, for small and medium-sized enterprises - especially for start-ups, which are often very innovative and creative, but have limited access to corporate financing and must rely on capital markets (securitization, capital market). Therefore, they need to secure bank loans, yet lack their own traditional collateral, such as land.

This book is a collection of the best research papers presented at the First World Conference on Internet of Things: Applications & Future (ITAF 2019), Sponsored by GR Foundation and French University in Egypt, held at Triumph Luxury Hotel, Cairo, Egypt, on 14-15 October 2019. It includes innovative works from leading researchers, innovators, business executives, and industry professionals that cover the latest advances in and applications for commercial and industrial end users across sectors within the emerging Internet of Things ecosphere. It addresses both current and emerging topics related to the Internet of Things such as big data research, new services and analytics, Internet of Things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.

In this collection of essays that represent original and interdisciplinary work, respected scholars address a number of privacy issues. These include how governmental and private sectors develop and deploy technologies that can pose serious compromises to the privacy of individuals and groups; how information and communication system designs pose threats to privacy; how we manage private concerns (child care, job leave, and identity) as public issues amenable to political action and shared awareness; and the fundamental asymmetry of power that exists between individuals and small groups on the one hand and large governmental and corporate entities on the other. Arranged in three sections law and policy; information technology; and information studies, history, and sociology Privacy in America: Interdisciplinary Perspectives will be useful to scholars, practitioners, and students in a variety of fields, including information science, library science, and information systems.

This open access book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. It discusses theories, problems and solutions on the relevant ethical issues involved. This work is sorely needed in a world where cybersecurity has become indispensable to protect trust and confidence in the digital infrastructure whilst respecting fundamental values like equality, fairness, freedom, or privacy. The book has a strong practical focus as it includes case studies outlining ethical issues in cybersecurity and presenting guidelines and other measures to tackle those issues. It is thus not only relevant for academics but also for practitioners in cybersecurity such as providers of security software, governmental CERTs or Chief Security Officers in companies.

Electronic information networks offer extraordinary advantages to business, government, and individuals in terms of power, capacity, speed, accessibility, and cost. But these same capabilities present substantial privacy issues. With an unprecedented amount of data available in digital format--which is easier and less expensive to access, manipulate, and store--others know more about you than ever before.

Consider this: data routinely collected about you includes your health, credit, marital, educational, and employment histories; the times and telephone numbers of every call you make and receive; the magazines you subscribe to and the books your borrow from the library; your cash withdrawals; your purchases by credit card or check; your electronic mail and telephone messages; where you go on the World Wide Web. The ramifications of such a readily accessible storehouse of information are astonishing.

Governments have responded to these new challenges to personal privacy in a wide variety of ways. At one extreme, the European Union in 1995 enacted sweeping regulation to protect personal information; at the other extreme, privacy law in the United States and many other countries is fragmented, inconsistent, and offers little protection for privacy on the internet and other electronic networks.

For all the passion that surrounds discussions about privacy, and the recent attention devoted to electronic privacy, surprisingly little consensus exists about what privacy means, what values are served--or compromised--by extending further legal protection to privacy, what values are affected by existing and proposed measures designed to protect privacy, and what principles should undergird a sensitive balancing of those values.

In this book, Fred Cate addresses these critical issues in the context of computerized information. He provides an overview of the technologies that are provoking the current privacy debate and discusses the range of legal issues that these technologies raise. He examines the central elements that make up the definition of privacy and the values served, and liabilities incurred, by each of those components. Separate chapters address the regulation of privacy in Europe and the United States. The final chapter identifies four sets of principles for protecting information privacy. The principles recognize the significance of individual and collective nongovernmental action, the limited role for privacy laws and government enforcement of those laws, and the ultimate goal of establishing multinational principles for protecting information privacy.

Privacy in the Information Age involves questions that cut across the fields of business, communications, economics, and law. Cate examines the debate in provocative, jargon-free, detail.

Handbook of IoT and Blockchain: Methods, solutions, and Recent Advancements includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain. Chapters include theoretical analysis, practical implications, and extensive surveys with analysis on methods, algorithms, and processes for new product development. IoT and Blockchain are the emerging topics in the current manufacturing scenario.This handbook includes recent advances; showcases the work of research around the globe; offers theoretical analysis and practical implications; presents extensive surveys with analysis, new contributions, and proposals on methods, algorithms, and processes; and also covers recent advances from quantitative and qualitative articles, case studies, conceptual works, and theoretical backing. This handbook will be of interest to graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Blockchain.

Networks powered by algorithms are pervasive. Major contemporary technology trends - Internet of Things, Big Data, Digital Platform Power, Blockchain, and the Algorithmic Society - are manifestations of this phenomenon. The internet, which once seemed an unambiguous benefit to society, is now the basis for invasions of privacy, massive concentrations of power, and wide-scale manipulation. The algorithmic networked world poses deep questions about power, freedom, fairness, and human agency. The influential 1997 Federal Communications Commission whitepaper "Digital Tornado" hailed the "endless spiral of connectivity" that would transform society, and today, little remains untouched by digital connectivity. Yet fundamental questions remain unresolved, and even more serious challenges have emerged. This important collection, which offers a reckoning and a foretelling, features leading technology scholars who explain the legal, business, ethical, technical, and public policy challenges of building pervasive networks and algorithms for the benefit of humanity. This title is also available as Open Access on Cambridge Core.

Explore the latest developments in cybersecurity with this essential guide Every day it seems we read another story about one company or another being targeted by cybercriminals. It makes some of us wonder: am I safe online? The good news is that we can all be cybersecure--and it doesn't take a degree in computer science to make it happen! Cybersecurity For Dummies is the down-to-earth guide you need to secure your own data (and your company's, too). You'll get step-by-step guidance on how to implement reasonable security measures, prevent cyber attacks, deal securely with remote work, and what to do in the event that your information is compromised. The book also offers: Updated directions on how to prevent ransomware attacks and how to handle the situation if you become a target Step-by-step instructions on how to create data backups and implement strong encryption Basic info that every aspiring cybersecurity professional needs to know Cybersecurity For Dummies is the ideal handbook for anyone considering a career transition into cybersecurity, as well as anyone seeking to secure sensitive information.

IOT: Security and Privacy Paradigm covers the evolution of security and privacy issues in the Internet of Things (IoT). It focuses on bringing all security and privacy related technologies into one source, so that students, researchers, and practitioners can refer to this book for easy understanding of IoT security and privacy issues. This edited book uses Security Engineering and Privacy-by-Design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding the security issues in IoT-enabled technologies and how it can be applied in various aspects. It walks readers through engaging with security challenges and builds a safe infrastructure for IoT devices. The book helps readers gain an understand of security architecture through IoT and describes the state of the art of IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID, WSNs, in IoT. This book aims to provide the concepts of related technologies and novel findings of the researchers through its chapter organization. The primary audience includes specialists, researchers, graduate students, designers, experts and engineers who are focused on research and security related issues. Souvik Pal, PhD, has worked as Assistant Professor in Nalanda Institute of Technology, Bhubaneswar, and JIS College of Engineering, Kolkata (NAAC "A" Accredited College). He is the organizing Chair and Plenary Speaker of RICE Conference in Vietnam; and organizing co-convener of ICICIT, Tunisia. He has served in many conferences as chair, keynote speaker, and he also chaired international conference sessions and presented session talks internationally. His research area includes Cloud Computing, Big Data, Wireless Sensor Network (WSN), Internet of Things, and Data Analytics. Vicente Garcia-Diaz, PhD, is an Associate Professor in the Department of Computer Science at the University of Oviedo (Languages and Computer Systems area). He is also the editor of several special issues in prestigious journals such as Scientific Programming and International Journal of Interactive Multimedia and Artificial Intelligence. His research interests include eLearning, machine learning and the use of domain specific languages in different areas. Dac-Nhuong Le, PhD, is Deputy-Head of Faculty of Information Technology, and Vice-Director of Information Technology Apply and Foreign Language Training Center, Haiphong University, Vietnam. His area of research includes: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT and image processing in biomedical. Presently, he is serving on the editorial board of several international journals and has authored nine computer science books published by Springer, Wiley, CRC Press, Lambert Publication, and Scholar Press.

This book constitutes revised selected papers from the 17th Workshop on e-Business, WeB 2018, which took place in Santa Clara, CA, USA, in December 2018. The purpose of WeB is to provide an open forum for e-Business researchers and practitioners world-wide, to share topical research findings, explore novel ideas, discuss success stories and lessons learned, map out major challenges, and collectively chart future directions for e-Business. The WeB 2018 theme was "The Ecosystem of e-Business: Technologies, Stakeholders, and Connections." There was a total of 47 submissions and 41 papers were presented at the conference. Of these, 19 revised papers are presented in this volume. These contributions are organized in the following topical sections: social, policy, and privacy issues; e-market; FinTech; and artificial intelligence.

Cyber Strategy: Risk-Driven Security and Resiliency provides a process and roadmap for any company to develop its unified Cybersecurity and Cyber Resiliency strategies. It demonstrates a methodology for companies to combine their disassociated efforts into one corporate plan with buy-in from senior management that will efficiently utilize resources, target high risk threats, and evaluate risk assessment methodologies and the efficacy of resultant risk mitigations. The book discusses all the steps required from conception of the plan from preplanning (mission/vision, principles, strategic objectives, new initiatives derivation), project management directives, cyber threat and vulnerability analysis, cyber risk and controls assessment to reporting and measurement techniques for plan success and overall strategic plan performance. In addition, a methodology is presented to aid in new initiative selection for the following year by identifying all relevant inputs. Tools utilized include: Key Risk Indicators (KRI) and Key Performance Indicators (KPI) National Institute of Standards and Technology (NIST) Cyber Security Framework (CSF) Target State Maturity interval mapping per initiative Comparisons of current and target state business goals and critical success factors A quantitative NIST-based risk assessment of initiative technology components Responsible, Accountable, Consulted, Informed (RACI) diagrams for Cyber Steering Committee tasks and Governance Boards' approval processes Swimlanes, timelines, data flow diagrams (inputs, resources, outputs), progress report templates, and Gantt charts for project management The last chapter provides downloadable checklists, tables, data flow diagrams, figures, and assessment tools to help develop your company's cybersecurity and cyber resiliency strategic plan.

Digital forensics has recently gained a notable development and become the most demanding area in today's information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition and computational intelligence.

Privacy is a core value of librarianship and yet as a concept, it is difficult to define and in practice, a challenge to uphold. This groundbreaking new book considers how privacy issues can arise in a library context and what library and information professionals can do to protect the privacy of their users. A Practical Guide to Privacy in Libraries features a wide range of practical examples of such issues, providing insights and practical steps which readers can follow. In-depth case studies and scenarios support the examples laid out in the book, while examples of data breaches which have occurred in a library setting, and the lessons we can learn from them, are also included. The book also covers the main legislation governing data protection - GDPR - which will be particularly relevant to European librarians, and international librarians offering services to EU citizens. The book provides a range of tools through which libraries can communicate how they handle the personal data of their users whilst ensuring that they are following best practice with their privacy policy statements, their privacy audits and data protection impact assessments. Privacy is not the same thing as data protection, and the book outlines the differences between these two concepts. Nevertheless, the book has been written with the requirements of data protection law very much in mind. Written in a highly practical manner, this book is essential reading for library and information professionals who need to understand and support privacy in the library setting and a useful reference for students and researchers in the field who need to understand this topic in practice.

This book constitutes the thoroughly refereed post-conference proceedings of the 6th Annual Privacy Forum, APF 2018, held in Barcelona, Spain, in June 2018. The 11 revised full papers were carefully reviewed and selected from 49 submissions. The papers are grouped in topical sections named: technical analysis and techniques; privacy implementation; compliance; and legal aspects.

This handbook covers the fundamental principles and theory, and the state-of-the-art research, systems and applications, in the area of mobility data privacy. It is primarily addressed to computer science and statistics researchers and educators, who are interested in topics related to mobility privacy. This handbook will also be valuable to industry developers, as it explains the state-of-the-art algorithms for offering privacy. By discussing a wide range of privacy techniques, providing in-depth coverage of the most important ones, and highlighting promising avenues for future research, this handbook also aims at attracting computer science and statistics students to this interesting field of research. The advances in mobile devices and positioning technologies, together with the progress in spatiotemporal database research, have made possible the tracking of mobile devices (and their human companions) at very high accuracy, while supporting the efficient storage of mobility data in data warehouses, which this handbook illustrates. This has provided the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. As ubiquitous computing pervades our society, user mobility data represents a very useful but also extremely sensitive source of information. On one hand, the movement traces that are left behind by the mobile devices of the users can be very useful in a wide spectrum of applications such as urban planning, traffic engineering, and environmental pollution management. On the other hand, the disclosure of mobility data to third parties may severely jeopardize the privacy of the users whose movement is recorded, leading to abuse scenarios such as user tailing and profiling. A significant amount of research work has been conducted in the last 15 years in the area of mobility data privacy and important research directions, such as privacy-preserving mobility data management, privacy in location sensing technologies and location-based services, privacy in vehicular communication networks, privacy in location-based social networks, privacy in participatory sensing systems which this handbook addresses.. This handbook also identifies important privacy gaps in the use of mobility data and has resulted to the adoption of international laws for location privacy protection (e.g., in EU, US, Canada, Australia, New Zealand, Japan, Singapore), as well as to a large number of interesting technologies for privacy-protecting mobility data, some of which have been made available through open-source systems and featured in real-world applications.

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2018, held in Valencia, Spain, in September 2018 under the sponsorship of the UNESCO Chair in Data Privacy. The 23 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers are organized into the following topics: tabular data protection; synthetic data; microdata and big data masking; record linkage; and spatial and mobility data. Chapter "SwapMob: Swapping Trajectories for Mobility Anonymization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This volume constitutes the proceedings of the 26th International Conference on Web Services, ICWS 2019, held as part of SCF 2019 in San Diego, CA, USA in June 2019. The 11 full papers together with 1 short paper published in this volume were carefully reviewed and selected from 31 submissions. ICWS has been a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Web-based services, to identify emerging research topics, and to define the future of Web-based services. Topics include Internet services modeling, discovery, composition, testing, adaptation, delivery, as well as standards.

This book constitutes revised selected papers from the 16th Workshop on e-Business, WeB 2017, which took place in Seoul, South Korea, in December 2017. The purpose of WeB is to provide an open forum for e-Business researchers and practitioners world-wide, to share topical research findings, explore novel ideas, discuss success stories and lessons learned, map out major challenges, and collectively chart future directions for e-Business. The WeB 2017 theme was "Digital transformation: challenges and opportunities". The 11 papers presented in this volume were carefully reviewed and selected from 43 submissions. These are original research articles with a broad coverage of behavioral issues on consumers, citizens, businesses, industries and governments, ranging from technical to strategic issues.