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Books > Computing & IT > Social & legal aspects of computing > Privacy & data protection
Offering compelling practical and legal reasons why de-identification should be one of the main approaches to protecting patients' privacy, the Guide to the De-Identification of Personal Health Information outlines a proven, risk-based methodology for the de-identification of sensitive health information. It situates and contextualizes this risk-based methodology and provides a general overview of its steps. The book supplies a detailed case for why de-identification is important as well as best practices to help you pin point when it is necessary to apply de-identification in the disclosure of personal health information. It also: Outlines practical methods for de-identification Describes how to measure re-identification risk Explains how to reduce the risk of re-identification Includes proofs and supporting reference material Focuses only on transformations proven to work on health information-rather than covering all possible approaches, whether they work in practice or not Rated the top systems and software engineering scholar worldwide by The Journal of Systems and Software, Dr. El Emam is one of only a handful of individuals worldwide qualified to de-identify personal health information for secondary use under the HIPAA Privacy Rule Statistical Standard. In this book Dr. El Emam explains how we can make health data more accessible-while protecting patients' privacy and complying with current regulations.
In a time in which new technologies make it easy to gather and process data, the discussion on privacy tends to focus exclusively on the protecting of personal data. To Serge Gutwirth, privacy involves far more. He advances the intriguing thesis that privacy is in fact the safeguard of personal freedom the safeguard of the individual's freedom to decide who she or he is, what she or he does, and who knows about it. Any restriction on privacy thus means an infringement of personal freedom. And it's exactly this freedom that plays an essential role in every democracy.
Cyber-Security Threats, Actors, and Dynamic Mitigation provides both a technical and state-of-the-art perspective as well as a systematic overview of the recent advances in different facets of cyber-security. It covers the methodologies for modeling attack strategies used by threat actors targeting devices, systems, and networks such as smart homes, critical infrastructures, and industrial IoT. With a comprehensive review of the threat landscape, the book explores both common and sophisticated threats to systems and networks. Tools and methodologies are presented for precise modeling of attack strategies, which can be used both proactively in risk management and reactively in intrusion prevention and response systems. Several contemporary techniques are offered ranging from reconnaissance and penetration testing to malware detection, analysis, and mitigation. Advanced machine learning-based approaches are also included in the area of anomaly-based detection, that are capable of detecting attacks relying on zero-day vulnerabilities and exploits. Academics, researchers, and professionals in cyber-security who want an in-depth look at the contemporary aspects of the field will find this book of interest. Those wanting a unique reference for various cyber-security threats and how they are detected, analyzed, and mitigated will reach for this book often.
Matters of privacy have profoundly changed since electronic storage of information has become the norm. Consequently, policy-makers and legislators are trying to keep up with privacy challenges in the workplace, in healthcare, in surveillance, and on social networking sites. With Privacy: Defending an Illusion, Martin Dowding fills a very important gap in policy analysis and the teaching of privacy issues at the senior undergraduate and early graduate student level. In the first section of this book, Dowding recounts historical interpretations of privacy in a wide variety of socio-cultural circumstances. In the second section, the author addresses how information and communication technologies have changed our conceptions about privacy and redirected our focus from keeping information private to sharing it with many more people than we would have even a few years ago. Dowding also examines a variety of possible options for the future of privacy. The appendixes include seminal readings on relevant topics that should encourage debates about the nature of privacy and its problems. Overall, this book provides a solid background for defining and understanding privacy in a wide variety of contexts.
Despite increasing scholarly attention to artificial intelligence (AI), studies at the intersection of AI and communication remain ripe for exploration, including investigations of the social, political, cultural, and ethical aspects of machine intelligence, interactions among agents, and social artifacts. This book tackles these unexplored research areas with special emphasis on conditions, components, and consequences of cognitive, attitudinal, affective, and behavioural dimensions toward communication and AI. In doing so, this book epitomizes communication, journalism and media scholarship on AI and its social, political, cultural, and ethical perspectives. Topics vary widely from interactions between humans and robots through news representation of AI and AI-based news credibility to privacy and value toward AI in the public sphere. Contributors from such countries as Brazil, Netherland, South Korea, Spain, and United States discuss important issues and challenges in AI and communication studies. The collection of chapters in the book considers implications for not only theoretical and methodological approaches, but policymakers and practitioners alike. The chapters in this book were originally published as a special issue of Communication Studies.
Offering compelling practical and legal reasons why de-identification should be one of the main approaches to protecting patients' privacy, the Guide to the De-Identification of Personal Health Information outlines a proven, risk-based methodology for the de-identification of sensitive health information. It situates and contextualizes this risk-based methodology and provides a general overview of its steps. The book supplies a detailed case for why de-identification is important as well as best practices to help you pin point when it is necessary to apply de-identification in the disclosure of personal health information. It also: Outlines practical methods for de-identification Describes how to measure re-identification risk Explains how to reduce the risk of re-identification Includes proofs and supporting reference material Focuses only on transformations proven to work on health information-rather than covering all possible approaches, whether they work in practice or not Rated the top systems and software engineering scholar worldwide by The Journal of Systems and Software, Dr. El Emam is one of only a handful of individuals worldwide qualified to de-identify personal health information for secondary use under the HIPAA Privacy Rule Statistical Standard. In this book Dr. El Emam explains how we can make health data more accessible-while protecting patients' privacy and complying with current regulations.
In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering, etc), which are applied to the protection of privacy and security. The symbiosis between these fields leads to a pool of invigorating ideas, which are explored in this book.On the one hand, individual privacy protection is a hot topic and must be addressed in order to guarantee the proper evolution of a modern society. On the other, security can invade individual privacy, especially after the appearance of new forms of terrorism. In this book, we analyze these problems from a new point of view.
The explosive increase in information and the miniaturization of electronic devices demand new recording technologies and materials that combine high density, fast response, long retention time and rewriting capability. As predicted, the current silicon-based computer circuits are reaching their physical limits. Further miniaturization of the electronic components and increase in data storage density are vital for the next generation of IT equipment such as ultra high-speed mobile computing, communication devices and sophisticated sensors. This original book presents a comprehensive introduction to the significant research achievements on high-density data storage from the aspects of recording mechanisms, materials and fabrication technologies, which are promising for overcoming the physical limits of current data storage systems. The book serves as an useful guide for the development of optimized materials, technologies and device structures for future information storage, and will lead readers to the fascinating world of information technology in the future.
data. Furthermore, the European Union established clear basic principles for the collection, storage and use of personal data by governments, businesses and other organizations or individuals in Directive 95/46/EC and Directive 2002/58/EC on Privacy and Electronic communications. Nonetheless, the twenty-?rst century citizen - utilizing the full potential of what ICT-technology has to offer - seems to develop a digital persona that becomes increasingly part of his individual social identity. From this perspective, control over personal information is control over an aspect of the identity one projects in the world. The right to privacy is the freedom from unreasonable constraints on one's own identity. Transactiondata-bothtraf?candlocationdata-deserveourparticularattention. As we make phone calls, send e-mails or SMS messages, data trails are generated within public networks that we use for these communications. While traf?c data are necessary for the provision of communication services, they are also very sensitive data. They can give a complete picture of a person's contacts, habits, interests, act- ities and whereabouts. Location data, especially if very precise, can be used for the provision of services such as route guidance, location of stolen or missing property, tourist information, etc. In case of emergency, they can be helpful in dispatching assistance and rescue teams to the location of a person in distress. However, p- cessing location data in mobile communication networks also creates the possibility of permanent surveillance.
"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.
While traveling the data highway through the global village, most people, if they think about it at all, consider privacy a non-forfeitable right. They expect to have control over the ways in which their personal information is obtained, distributed, shared, and used by any other entity. According to recent surveys, privacy, and anonymity are the fundamental issues of concern for most Internet users, ranked higher than ease-of-use, spam, cost, and security. Digital Privacy: Theory, Techniques, and Practices covers state-of-the-art technologies, best practices, and research results, as well as legal, regulatory, and ethical issues. Editors Alessandro Acquisti, Stefanos Gritzalis, Costas Lambrinoudakis, and Sabrina De Capitani di Vimercati, established researchers whose work enjoys worldwide recognition, draw on contributions from experts in academia, industry, and government to delineate theoretical, technical, and practical aspects of digital privacy. They provide an up-to-date, integrated approach to privacy issues that spells out what digital privacy is and covers the threats, rights, and provisions of the legal framework in terms of technical counter measures for the protection of an individual's privacy. The work includes coverage of protocols, mechanisms, applications, architectures, systems, and experimental studies. Even though the utilization of personal information can improve customer services, increase revenues, and lower business costs, it can be easily misused and lead to violations of privacy. Important legal, regulatory, and ethical issues have emerged, prompting the need for an urgent and consistent response by electronic societies. Currently there is no book available that combines such a wide range of privacy topics with such a stellar cast of contributors. Filling that void, Digital Privacy: Theory, Techniques, and Practices gives you the foundation for building effective and legal privacy protocols into your business processes.
Like many concepts, privacy has a commonly accepted core of meaning with an indefinite or variable periphery. Some would wish to enlarge the core. It would be pointless to attempt to establish a definition by way of introduction to a series of essays that themselves provide no single definition. But the themes of freedom, justice, rational choice, and community always seem to appear in any discussion of privacy. "Privacy is a penultimate good. Perhaps, in certain usages--such as autonomy--it is an ultimate good, desirable for its own sake and grounded on nothing more final. Of course, the right of privacy may sometimes be asserted to conceal illegal or immoral acts. When that occurs, it appears to be put to an instrumental use. But, insofar as we justify such claims, it is not because they prevent the detection of immorality or violations of the law. Rather, at least in the case of illegal acts, it is because the means being challenged themselves violate privacy. The individual control-human dignity foundation for privacy, is closely related to personality. Privacy provides relief from tension and opportunity for the development of intimate relations with others. All of us have standards of behavior that are higher than we can maintain at all times, and these standards are widely shared in the society in which we live. If we do not observe them we are likely to be criticized, or we fear that we shall be, and we suffer also from loss of self-esteem. Whether in some final sense the concept of privacy is culture bound is impossible to establish, in the absence of any known society in which elements of privacy are not to be found. "J. Roland Pennock" was professor of political science at Swarthmore College for more than twenty-five years, as well as a fellow at the John Simon Guggenheim Memorial Foundation. "John W. Chapman" is professor emeritus of political science at the University of Pittsburgh.
The world's most infamous hacker offers an insider's view of the
low-tech threats to high-tech security
Avoid becoming the next ransomware victim by taking practical steps today Colonial Pipeline. CWT Global. Brenntag. Travelex. The list of ransomware victims is long, distinguished, and sophisticated. And it's growing longer every day. In Ransomware Protection Playbook, computer security veteran and expert penetration tester Roger A. Grimes delivers an actionable blueprint for organizations seeking a robust defense against one of the most insidious and destructive IT threats currently in the wild. You'll learn about concrete steps you can take now to protect yourself or your organization from ransomware attacks. In addition to walking you through the necessary technical preventative measures, this critical book will show you how to: Quickly detect an attack, limit the damage, and decide whether to pay the ransom Implement a pre-set game plan in the event of a game-changing security breach to help limit the reputational and financial damage Lay down a secure foundation of cybersecurity insurance and legal protection to mitigate the disruption to your life and business A must-read for cyber and information security professionals, privacy leaders, risk managers, and CTOs, Ransomware Protection Playbook is an irreplaceable and timely resource for anyone concerned about the security of their, or their organization's, data.
Combining a stimulating blend of academic authority and senior practitioner experience, this book tackles the principle of openness to official documentation and information flow. It covers important areas such as the Hutton Report into the death of Dr David Kelly, the freedom of speech in democratic societies, the value of the freedom of information and international comparisons. The book is a must read for courses on public policy and governance and information law.
"In Human Dimensions of Cyber Security, Terry Bossomaier, Steven D'Alessandro, and Roger Bradbury have produced a book that ... shows how it is indeed possible to achieve what we all need; a multidisciplinary, rigorously researched and argued, and above all accessible account of cybersecurity - what it is, why it matters, and how to do it." --Professor Paul Cornish, Visiting Professor, LSE IDEAS, London School of Economics Human Dimensions of Cybersecurity explores social science influences on cybersecurity. It demonstrates how social science perspectives can enable the ability to see many hazards in cybersecurity. It emphasizes the need for a multidisciplinary approach, as cybersecurity has become a fundamental issue of risk management for individuals, at work, and with government and nation states. This book explains the issues of cybersecurity with rigor, but also in simple language, so individuals can see how they can address these issues and risks. The book provides simple suggestions, or cybernuggets, that individuals can follow to learn the dos and don'ts of cybersecurity. The book also identifies the most important human and social factors that affect cybersecurity. It illustrates each factor, using case studies, and examines possible solutions from both technical and human acceptability viewpoints.
Edward Snowden, the man who risked everything to expose the US government's system of mass surveillance, reveals for the first time the story of his life, including how he helped to build that system and what motivated him to try to bring it down. In 2013, twenty-nine-year-old Edward Snowden shocked the world when he broke with the American intelligence establishment and revealed that the United States government was secretly pursuing the means to collect every single phone call, text message, and email. The result would be an unprecedented system of mass surveillance with the ability to pry into the private lives of every person on earth. Six years later, Snowden reveals for the very first time how he helped to build this system and why he was moved to expose it. Spanning the bucolic Beltway suburbs of his childhood and the clandestine CIA and NSA postings of his adulthood, Permanent Record is the extraordinary account of a bright young man who grew up online - a man who became a spy, a whistleblower, and, in exile, the Internet's conscience. Written with wit, grace, passion, and an unflinching candor, Permanent Record is a crucial memoir of our digital age and destined to be a classic.
This volume aims at assessing the current approaches and technologies, as well as to outline the major challenges and future perspectives related to the security and privacy protection of social networks. It provides the reader with an overview of the state-of-the art techniques, studies, and approaches as well as outlining future directions in this field. A wide range of interdisciplinary contributions from various research groups ensures for a balanced and complete perspective.
This study examines the tensions and interrelationships inherent in federal control of information in the technological era. Analyzing topics relating to information content and carrier issues, citizens' natural rights and utilities, and the effects of the executive and legislative branches, the author examines the historical definitions of information, traditional ethical principles, the parameters as framed by the Constitution, and three kinds of information control actions promulgated by the federal government (the Foreign Agents Registration and Propaganda Act, the Computer Security Act of 1987, and the Pentagon media rules during the Persian Gulf War). Following analysis of the practical, ethical, and legal issues involved, the author recommends a proactive information policy encompassing both information content and carriers and preserving Constitutional principles on the free flow of information.
Thoughts are free - but they are no longer secret. Today, our data is automatically stored and analyzed by algorithms "behind the cloud" - where we no longer have control over our data. Our most private and secret information is entrusted to the internet and permanently collected, stacked and linked to our digital twins. With and without our consent. "Privacy is dead", as Mark Zuckerberg put it. The question is: How did we get there? And, if the actors behind the cloud know everything: what is still private today, and are there any personal secrets at all when the "gods" behind the cloud possibly know us better than our friends and family? The book uses a wealth of case studies (e.g. cryptocurrencies, journalism, digital traces of sexual preferences) to develop a typology of privacy in the history of ideas. Furthermore, it shows the areas of life in which big data and artificial intelligence have already made inroads. This book is a translation of the original German 2nd edition Die Ruckseite der Cloud by Peter Seele and Lucas Zapf, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
By definition, information security exists to protect your organization's valuable information resources. But too often information security efforts are viewed as thwarting business objectives. An effective information security program preserves your information assets and helps you meet business objectives. Information Security Policies, Procedures, and Standards: Guidelines for Effective Information Security Management provides the tools you need to select, develop, and apply a security program that will be seen not as a nuisance but as a means to meeting your organization's goals.
Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You'll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques
The amazing transformation of society brought about by the wide
dispersion of computers has given rise to new moral dilemmas. With
the rapid development of this technology, the impact of computers
on privacy, personal identity, intellectual property, and the form
and practice of democracy is becoming more apparent every day.
Inevitably, this penetration of computer technology into our
private and social lives has a moral dimension, which raises
questions about our conduct and requires moral reflection and
decision-making. The twenty-six groundbreaking essays collected in
this insightful anthology define the nature of this new moral
landscape and offer thoughtful answers to the ethical questions
raised by the interaction of people and computers. |
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