Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself--most people understand that this is crucial to social life --but the inappropriate, improper sharing of information.
Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts--whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.

For many small businesses, organisations, clubs, artists, faith groups, voluntary organisations/charities and sole traders, applying the General Data Protection Regulation (GDPR) has been like playing a game of "Snakes and Ladders". As soon as you move along the board and climb a ladder, a snake appears, which takes you right back to where you started. Conflicting advice abounds and there is nowhere for these individuals to go for simple answers all in one place. With the threat of fines seeming around every corner, now more than ever is the time for smaller organisations to get to grips with GDPR so that they can demonstrate their compliance. GDPR: A Game of Snakes and Ladders is an easy to read reference tool, which uses simple language in bite size easily signposted chapters. Adopting a no-nonsense approach, the Regulation is explained so that organisations can comply with the minimum of fuss and deliver this compliance in the shortest timeframe without the need to resort to expensive consultants or additional staff. The book is supported by a variety of easy to follow case studies, example documents and fact sheets. The author signposts warnings and important requirements (snakes) and hints and suggestions (ladders) and also provides a section on staff training and a Game of Snakes and Ladders training slide pack. Additional resources are available on the companion website. This user-friendly book, written by a Data Protection Officer and business management specialist will help you understand the Regulation, where it applies in your organisation and how to achieve compliance (and win at the compliance game).

Many Smart Grid books include "privacy" in their title, but only touch on privacy, with most of the discussion focusing on cybersecurity. Filling this knowledge gap, Data Privacy for the Smart Grid provides a clear description of the Smart Grid ecosystem, presents practical guidance about its privacy risks, and details the actions required to protect data generated by Smart Grid technologies. It addresses privacy in electric, natural gas, and water grids and supplies two different perspectives of the topic-one from a Smart Grid expert and another from a privacy and information security expert.The authors have extensive experience with utilities and leading the U.S. government's National Institute of Standards and Technologies (NIST) Cyber Security Working Group (CSWG)/Smart Grid Interoperability Group (SGIP) Privacy Subgroup. This comprehensive book is understandable for all those involved in the Smart Grid. The authors detail the facts about Smart Grid privacy so readers can separate truth from myth about Smart Grid privacy. While considering privacy in the Smart Grid, the book also examines the data created by Smart Grid technologies and machine-to-machine (M2M) applications and associated legal issues. The text details guidelines based on the Organization for Economic Cooperation and Development Privacy Guidelines and the U.S. Federal Trade Commission Fair Information Practices. It includes privacy training recommendations and references to additional Smart Grid privacy resources. After reading the book, readers will be prepared to develop informed opinions, establish fact-based decisions, make meaningful contributions to Smart Grid legislation and policies, and to build technologies to preserve and protect privacy. Policy makers; Smart Grid and M2M product and service developers; utility customer and privacy resources; and other service providers and resources are primary beneficiaries of the information provided in

This book offers an analysis of privacy impacts resulting from and reinforced by technology and discusses fundamental risks and challenges of protecting privacy in the digital age. Privacy is among the most endangered "species" in our networked society: personal information is processed for various purposes beyond our control. Ultimately, this affects the natural interplay between privacy, personal identity and identification. This book investigates that interplay from a systemic, socio-technical perspective by combining research from the social and computer sciences. It sheds light on the basic functions of privacy, their relation to identity, and how they alter with digital identification practices. The analysis reveals a general privacy control dilemma of (digital) identification shaped by several interrelated socio-political, economic and technical factors. Uncontrolled increases in the identification modalities inherent to digital technology reinforce this dilemma and benefit surveillance practices, thereby complicating the detection of privacy risks and the creation of appropriate safeguards. Easing this problem requires a novel approach to privacy impact assessment (PIA), and this book proposes an alternative PIA framework which, at its core, comprises a basic typology of (personally and technically) identifiable information. This approach contributes to the theoretical and practical understanding of privacy impacts and thus, to the development of more effective protection standards. This book will be of much interest to students and scholars of critical security studies, surveillance studies, computer and information science, science and technology studies, and politics.

This book is a timely report of the state-of-the-art analytical techniques in the domain of quantum algorithms related to Boolean functions. It bridges the gap between recent developments in the area and the hands-on analysis of the spectral properties of Boolean functions from a cryptologic viewpoint. Topics covered in the book include Qubit, Deutsch-Jozsa and Walsh spectrum, Grover's algorithm, Simon's algorithm and autocorrelation spectrum. The book aims at encouraging readers to design and implement practical algorithms related to Boolean functions. Apart from combinatorial techniques, this book considers implementing related programs in a quantum computer. Researchers, practitioners and educators will find this book valuable.

"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data flows animate a virtual space. This is the unseen world in which technology has become the master, with the hand of the human less visible. In fact, however, it is human interaction in and around technology that makes data so pervasive and important - the ability of the human mind to extract, manipulate and shape data that gives meaning to it. This book outlines the findings and conclusions of a multidisciplinary team of data scientists, lawyers, and economists tasked with studying both the possibilities of exploiting the rich data sets made available from many human-technology interactions and the practical and legal limitations of trying to do so. It revolves around a core case study of Singapore's public transport system, using data from both the private company operating the contactless payment system (EZ-Link) and the government agency responsible for public transport infrastructure (Land Transport Authority). In analysing both the possibilities and the limitations of these data sets, the authors propose policy recommendations in terms of both the uses of large data sets and the legislation necessary to enable these uses while protecting the privacy of users.

In this book, Yuko Suda examines the Safe Harbor debate, the passenger name record (PNR) dispute, and the Society for Worldwide Interbank Financial Transactions (SWIFT) affair to understand the transfer of personal data from the European Union (EU) to the United States. She argues that the Safe Harbor, PNR, and SWIFT agreements were made to mitigate the potentially negative effects that may arise from the beyond-the-border reach of EU data protection rules or US counterterrorism regulation. A close examination of these high-profile cases would reveal how beyond-the-border reach of one jurisdiction's regulation might affect another jurisdiction's policy and what responses the affected jurisdiction possibly makes to manage the effects of such extraterritorial regulation. The Politics of Data Transfer adds another dimension to the study of transatlantic data conflicts by assuming that the cases exemplify not only the politics of data privacy but also the politics of extraterritorial regulation. A welcome and timely collection uncovering the evolution of and prospects for the politics of data privacy in the digitalized and interconnected world.

"Delete" looks at the surprising phenomenon of perfect remembering in the digital age, and reveals why we must reintroduce our capacity to forget. Digital technology empowers us as never before, yet it has unforeseen consequences as well. Potentially humiliating content on Facebook is enshrined in cyberspace for future employers to see. Google remembers everything we've searched for and when. The digital realm remembers what is sometimes better forgotten, and this has profound implications for us all.

In "Delete," Viktor Mayer-Schonberger traces the important role that forgetting has played throughout human history, from the ability to make sound decisions unencumbered by the past to the possibility of second chances. The written word made it possible for humans to remember across generations and time, yet now digital technology and global networks are overriding our natural ability to forget--the past is ever present, ready to be called up at the click of a mouse. Mayer-Schonberger examines the technology that's facilitating the end of forgetting--digitization, cheap storage and easy retrieval, global access, and increasingly powerful software--and describes the dangers of everlasting digital memory, whether it's outdated information taken out of context or compromising photos the Web won't let us forget. He explains why information privacy rights and other fixes can't help us, and proposes an ingeniously simple solution--expiration dates on information--that may.

"Delete" is an eye-opening book that will help us remember how to forget in the digital age."

With the prevalence of digital information, IT professionals have encountered new challenges regarding data security. In an effort to address these challenges and offer solutions for securing digital information, new research on cryptology methods is essential. Multidisciplinary Perspectives in Cryptology and Information Security considers an array of multidisciplinary applications and research developments in the field of cryptology and communication security. This publication offers a comprehensive, in-depth analysis of encryption solutions and will be of particular interest to IT professionals, cryptologists, and researchers in the field.

On June 4, Federal Police raided the home of Walkley award-winning journalist Annika Smethurst, changing her life forever. Police claim they were investigating the publication of classified information, her employer called it a 'dangerous act of intimidation', Smethurst believes she was simply doing her job. Smethurst became the accidental poster woman for press freedom as politicians debated the merits of police searching through her underwear drawer. In On Secrets she will discuss the impact this invasion has had on her life, and examine the importance of press freedom.

Microservices Security in Action teaches readers how to secure their microservices applications code and infrastructure. After a straightforward introduction to the challenges of microservices security, the book covers fundamentals to secure both the application perimeter and service-to-service communication. Following a hands-on example, readers explore how to deploy and secure microservices behind an API gateway as well as how to access microservices accessed by a single-page application (SPA). Key Features Key microservices security fundamentals Securing service-to-service communication with mTLS and JWT Deploying and securing microservices with Docker Using Kubernetes security Securing event-driven microservices Using the Istio Service Mesh For developers well-versed in microservices design principles who have a basic familiarity with Java. About the technology As microservices continue to change enterprise application systems, developers and architects must learn to integrate security into their design and implementation. Because microservices are created as a system of independent components, each a possible point of failure, they can multiply the security risk. Prabath Siriwardena is the vice president of security architecture at WSO2, a company that produces open source software, and has more than 12 years of experience in the identity management and security domain. Nuwan Dias is the director of API architecture at WSO2 and has worked in the software industry for more than 7 years, most of which he spent focusing on the API management domain. Both have helped build security designs for Fortune 500 companies including Boeing, Verizon, Nissan, HP, and GE.

Assessing and Managing Security Risk in IT Systems: A Structured Methodology builds upon the original McCumber Cube model to offer proven processes that do not change, even as technology evolves. This book enables you to assess the security attributes of any information system and implement vastly improved security environments. Part I delivers an overview of information systems security, providing historical perspectives and explaining how to determine the value of information. This section offers the basic underpinnings of information security and concludes with an overview of the risk management process. Part II describes the McCumber Cube, providing the original paper from 1991 and detailing ways to accurately map information flow in computer and telecom systems. It also explains how to apply the methodology to individual system components and subsystems. Part III serves as a resource for analysts and security practitioners who want access to more detailed information on technical vulnerabilities and risk assessment analytics. McCumber details how information extracted from this resource can be applied to his assessment processes.

Protecting the privacy of student data when bringing technology into the classroom is one of the toughest organizational challenges facing schools and districts today. Parent and legislator concerns about how school systems protect the privacy of student data are at an all-time high. School systems must navigate complex federal and state regulations, understand how technology providers collect and protect student data, explain those complexities to parents, and provide the reassurance the community needs that the student information will remain safe. Student Data Privacy: Building a School Compliance Program provides solutions for all of these challenges and more. It is a step-by-step journey through the process of building the policies and practices to protect student data, and shifting the organizational culture to prioritize privacy while still taking advantage of the tremendous benefits that technology has to offer in the modern classroom.

This book is about relations between three different areas of mathematics and theoretical computer science: combinatorial group theory, cryptography, and complexity theory. It explores how non-commutative (infinite) groups, which are typically studied in combinatorial group theory, can be used in public key cryptography. It also shows that there is remarkable feedback from cryptography to combinatorial group theory because some of the problems motivated by cryptography appear to be new to group theory, and they open many interesting research avenues within group theory. In particular, a lot of emphasis in the book is put on studying search problems, as compared to decision problems traditionally studied in combinatorial group theory. Then, complexity theory, notably generic-case complexity of algorithms, is employed for cryptanalysis of various cryptographic protocols based on infinite groups, and the ideas and machinery from the theory of generic-case complexity are used to study asymptotically dominant properties of some infinite groups that have been applied in public key cryptography so far. This book also describes new interesting developments in the algorithmic theory of solvable groups and another spectacular new development related to complexity of group-theoretic problems, which is based on the ideas of compressed words and straight-line programs coming from computer science.

Cracking open the politics of transparency and secrecy In an era of open data and ubiquitous dataveillance, what does it mean to "share"? This book argues that we are all "shareveillant" subjects, called upon to be transparent and render data open at the same time as the security state invests in practices to keep data closed. Drawing on Jacques Ranciere's "distribution of the sensible," Clare Birchall reimagines sharing in terms of a collective political relationality beyond the veillant expectations of the state.

This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working closely to standardize homomorphic encryption. This is the first publication of whitepapers created by these experts that comprehensively describes the scientific inventions, presents a concrete security analysis, and broadly discusses applicable use scenarios and markets. This book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by groups of top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research. The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.

This book constitutes the proceedings of the 29th International Conference on Web Services, ICWS 2022, held in Honolulu, USA, as part of SCF 2022, during December 10-14, 2022.The 9 full papers presented in this volume were carefully reviewed and selected from 20 submissions. The papers cover aspects of services computing and applications. Centered around services computing, it covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications.

An original deep history of the internet that tells the story of the centuries-old utopian dreams behind it-and explains why they have died today Many think of the internet as an unprecedented and overwhelmingly positive achievement of modern human technology. But is it? In The Internet Is Not What You Think It Is, Justin Smith offers an original deep history of the internet, from the ancient to the modern world-uncovering its surprising origins in nature and centuries-old dreams of radically improving human life by outsourcing thinking to machines and communicating across vast distances. Yet, despite the internet's continuing potential, Smith argues, the utopian hopes behind it have finally died today, killed by the harsh realities of social media, the global information economy, and the attention-destroying nature of networked technology. Ranging over centuries of the history and philosophy of science and technology, Smith shows how the "internet" has been with us much longer than we usually think. He draws fascinating connections between internet user experience, artificial intelligence, the invention of the printing press, communication between trees, and the origins of computing in the machine-driven looms of the silk industry. At the same time, he reveals how the internet's organic structure and development root it in the natural world in unexpected ways that challenge efforts to draw an easy line between technology and nature. Combining the sweep of intellectual history with the incisiveness of philosophy, The Internet Is Not What You Think It Is cuts through our daily digital lives to give a clear-sighted picture of what the internet is, where it came from, and where it might be taking us in the coming decades.

As identity theft and corporate data vulnerability continue to escalate, corporations must protect both the valuable consumer data they collect and their own intangible assets. Both Congress and the states have passed laws to improve practices, but the rate of data loss persists unabated and companies remain slow to invest in information security. Engaged in a bottom-up investigation, "Harboring Data" reveals the emergent nature of data leakage and vulnerability, as well as some of the areas where our current regulatory frameworks fall short.
With insights from leading academics, information security professionals, and other area experts, this original work explores the business, legal, and social dynamics behind corporate information leakage and data breaches. The authors reveal common mistakes companies make, which breaches go unreported despite notification statutes, and surprising weaknesses in the federal laws that regulate financial data privacy, children's data collection, and health data privacy. This forward-looking book will be vital to meeting the increasing information security concerns that new data-intensive business models will have.

This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.

Internet attack on computer systems is pervasive. It can take from less than a minute to as much as eight hours for an unprotected machine connected to the Internet to be completely compromised. It is the information security architect's job to prevent attacks by securing computer systems. This book describes both the process and the practice of assessing a computer system's existing information security posture. Detailing the time-tested practices of experienced security architects, it explains how to deliver the right security at the right time in the implementation lifecycle. Securing Systems: Applied Security Architecture and Threat Models covers all types of systems, from the simplest applications to complex, enterprise-grade, hybrid cloud architectures. It describes the many factors and prerequisite information that can influence an assessment. The book covers the following key aspects of security analysis: When should the security architect begin the analysis? At what points can a security architect add the most value? What are the activities the architect must execute? How are these activities delivered? What is the set of knowledge domains applied to the analysis? What are the outputs? What are the tips and tricks that make security architecture risk assessment easier? To help you build skill in assessing architectures for security, the book presents six sample assessments. Each assessment examines a different type of system architecture and introduces at least one new pattern for security analysis. The goal is that after you've seen a sufficient diversity of architectures, you'll be able to understand varied architectures and can better see the attack surfaces and prescribe security solutions.

Data privacy technologies are essential for implementing information systems with privacy by design.Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure. For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training? This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement-among other models-differential privacy, k-anonymity, and secure multiparty computation. Topics and features: Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications) Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users Offers characterization of privacy models, comparing their differences, advantages, and disadvantages Describes some of the most relevant algorithms to implement privacy models Includes examples of data protection mechanisms This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview. Vicenc Torra is Professor with the Department of Computing Science at Umea University, Umea, Sweden.

This book provides an opportunity for investigators, government officials, systems scientists, strategists, assurance researchers, owners, operators and maintainers of large, complex and advanced systems and infrastructures to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. Drawing on 12 years of successful events on information security, digital forensics and cyber-crime, the 13th ICGS3-20 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. As an increasing number of large organizations and individuals use the Internet and its satellite mobile technologies, they are increasingly vulnerable to cyber-crime threats. It is therefore paramount that the security industry raises its game to combat these threats. Whilst there is a huge adoption of technology and smart home devices, comparably, there is a rise of threat vector in the abuse of the technology in domestic violence inflicted through IoT too. All these are an issue of global importance as law enforcement agencies all over the world are struggling to cope.

This book looks at transatlantic jurisdictional conflicts in data protection law and how the fundamental right to data protection conditions the EU's exercise of extraterritorial jurisdiction. Governments, companies and individuals are handling ever more digitised personal data, so it is increasingly important to ensure this data is protected. Meanwhile, the Internet is changing how territory and jurisdiction are realised online. The EU promotes personal data protection as a fundamental right. Especially since the EU's General Data Protection Regulation started applying in 2018, its data protection laws have had strong effects beyond its territory. In contrast, similar US information privacy laws are rooted in the marketplace and carry less normative heft. This has provoked clashes with the EU when their values, interests and laws conflict. This research uses three case studies to suggest ways to mitigate transatlantic jurisdictional tensions over data protection and security, the free flow of information and trade.