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Author: Jaap-Henk Hoepman Publisher: MIT Press ISBN: 0262547201 Category : Computers Languages : en Pages : 275
Book Description
An expert on computer privacy and security shows how we can build privacy into the design of systems from the start. We are tethered to our devices all day, every day, leaving data trails of our searches, posts, clicks, and communications. Meanwhile, governments and businesses collect our data and use it to monitor us without our knowledge. So we have resigned ourselves to the belief that privacy is hard--choosing to believe that websites do not share our information, for example, and declaring that we have nothing to hide anyway. In this informative and illuminating book, a computer privacy and security expert argues that privacy is not that hard if we build it into the design of systems from the start. Along the way, Jaap-Henk Hoepman debunks eight persistent myths surrounding computer privacy. The website that claims it doesn't collect personal data, for example; Hoepman explains that most data is personal, capturing location, preferences, and other information. You don't have anything to hide? There's nothing wrong with wanting to keep personal information--even if it's not incriminating or embarrassing--private. Hoepman shows that just as technology can be used to invade our privacy, it can be used to protect it, when we apply privacy by design. Hoepman suggests technical fixes, discussing pseudonyms, leaky design, encryption, metadata, and the benefits of keeping your data local (on your own device only), and outlines privacy design strategies that system designers can apply now.
Author: Jaap-Henk Hoepman Publisher: MIT Press ISBN: 0262547201 Category : Computers Languages : en Pages : 275
Book Description
An expert on computer privacy and security shows how we can build privacy into the design of systems from the start. We are tethered to our devices all day, every day, leaving data trails of our searches, posts, clicks, and communications. Meanwhile, governments and businesses collect our data and use it to monitor us without our knowledge. So we have resigned ourselves to the belief that privacy is hard--choosing to believe that websites do not share our information, for example, and declaring that we have nothing to hide anyway. In this informative and illuminating book, a computer privacy and security expert argues that privacy is not that hard if we build it into the design of systems from the start. Along the way, Jaap-Henk Hoepman debunks eight persistent myths surrounding computer privacy. The website that claims it doesn't collect personal data, for example; Hoepman explains that most data is personal, capturing location, preferences, and other information. You don't have anything to hide? There's nothing wrong with wanting to keep personal information--even if it's not incriminating or embarrassing--private. Hoepman shows that just as technology can be used to invade our privacy, it can be used to protect it, when we apply privacy by design. Hoepman suggests technical fixes, discussing pseudonyms, leaky design, encryption, metadata, and the benefits of keeping your data local (on your own device only), and outlines privacy design strategies that system designers can apply now.
Author: Cynthia Dwork Publisher: ISBN: 9781601988188 Category : Computers Languages : en Pages : 286
Book Description
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
Author: Marc Rotenberg Publisher: New Press, The ISBN: 1620971089 Category : Law Languages : en Pages : 210
Book Description
The threats to privacy are well known: the National Security Agency tracks our phone calls; Google records where we go online and how we set our thermostats; Facebook changes our privacy settings when it wishes; Target gets hacked and loses control of our credit card information; our medical records are available for sale to strangers; our children are fingerprinted and their every test score saved for posterity; and small robots patrol our schoolyards and drones may soon fill our skies. The contributors to this anthology don't simply describe these problems or warn about the loss of privacy—they propose solutions. They look closely at business practices, public policy, and technology design, and ask, “Should this continue? Is there a better approach?” They take seriously the dictum of Thomas Edison: “What one creates with his hand, he should control with his head.” It's a new approach to the privacy debate, one that assumes privacy is worth protecting, that there are solutions to be found, and that the future is not yet known. This volume will be an essential reference for policy makers and researchers, journalists and scholars, and others looking for answers to one of the biggest challenges of our modern day. The premise is clear: there's a problem—let's find a solution.
Author: Colin J. Bennett Publisher: Cornell University Press ISBN: 9780801480102 Category : Computers Languages : en Pages : 284
Book Description
The information revolution has brought with it the technology for easily collecting personal information about individuals, a facility that inherently threatens personal privacy. Colin J. Bennett here examines political responses to the data protection issue in four Western democracies, comparing legislation that the United States, Britain, West Germany, and Sweden forged from the late 1960's to the 1980's to protect citizens from unwanted computer dissemination of personal information. Drawing on an extensive body of interviews and documentary evidence, Bennett considers how the four countries, each with different cultural traditions and institutions, formulated fair information policy. He finds that their computer regulatory laws are based on strikingly similar statutory principles, but that enforcement of these principles varies considerably: the United States relies on citizen initiative and judicial enforcement; Britain uses a registration system; Germany has installed an ombudsman; and Sweden employs a licensing system. Tracing the impact of key social, political, and technological factors on the ways different political systems have controlled the collection and communication of information, Bennett also deepens our understanding of policymaking theory. Regulating Privacy will be welcomed by political sciences--especially those working in comparative public policy, American politics, organization theory, and technology and politics--political economists, information systems analysts, and others concerned with issues of privacy.
Author: Scott Skinner-Thompson Publisher: Cambridge University Press ISBN: 1316856704 Category : Law Languages : en Pages : 233
Book Description
Limited legal protections for privacy leave minority communities vulnerable to concrete injuries and violence when their information is exposed. In Privacy at the Margins, Scott Skinner-Thompson highlights why privacy is of acute importance for marginalized groups. He explains how privacy can serve as a form of expressive resistance to government and corporate surveillance regimes - furthering equality goals - and demonstrates why efforts undertaken by vulnerable groups (queer folks, women, and racial and religious minorities) to protect their privacy should be entitled to constitutional protection under the First Amendment and related equality provisions. By examining the ways even limited privacy can enrich and enhance our lives at the margins in material ways, this work shows how privacy can be transformed from a liberal affectation to a legal tool of liberation from oppression.
Author: Nishant Bhajaria Publisher: Simon and Schuster ISBN: 1638357188 Category : Computers Languages : en Pages : 632
Book Description
Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it’s needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations
Author: Garret Keizer Publisher: Macmillan ISBN: 0312554842 Category : Law Languages : en Pages : 210
Book Description
American essayist and Harper's contributing editor Garret Keizer offers a brilliant, literate look at our strip-searched, over-shared, viral-videoed existence. Body scans at the airport, candid pics on Facebook, a Twitter account for your stray thoughts, and a surveillance camera on every street corner -- today we have an audience for all of the extraordinary and banal events of our lives. The threshold between privacy and exposure becomes more permeable by the minute. But what happens to our private selves when we cannot escape scrutiny, and to our public personas when they pass from our control? In this wide-ranging, penetrating addition to the Big Ideas//Small Books series, and in his own unmistakable voice, Garret Keizer considers the moral dimensions of privacy in relation to issues of social justice, economic inequality, and the increasing commoditization of the global marketplace. Though acutely aware of the digital threat to privacy rights, Keizer refuses to see privacy in purely technological terms or as an essentially legalistic value. Instead, he locates privacy in the human capacity for resistance and in the sustainable society "with liberty and justice for all."
Author: April Falcon Doss Publisher: BenBella Books ISBN: 1950665534 Category : History Languages : en Pages : 335
Book Description
"Chilling, eye-opening, and timely, Cyber Privacy makes a strong case for the urgent need to reform the laws and policies that protect our personal data. If your reaction to that statement is to shrug your shoulders, think again. As April Falcon Doss expertly explains, data tracking is a real problem that affects every single one of us on a daily basis." —General Michael V. Hayden, USAF, Ret., former Director of CIA and NSA and former Principal Deputy Director of National Intelligence You're being tracked. Amazon, Google, Facebook, governments. No matter who we are or where we go, someone is collecting our data: to profile us, target us, assess us; to predict our behavior and analyze our attitudes; to influence the things we do and buy—even to impact our vote. If this makes you uneasy, it should. We live in an era of unprecedented data aggregation, and it's never been more difficult to navigate the trade-offs between individual privacy, personal convenience, national security, and corporate profits. Technology is evolving quickly, while laws and policies are changing slowly. You shouldn't have to be a privacy expert to understand what happens to your data. April Falcon Doss, a privacy expert and former NSA and Senate lawyer, has seen this imbalance in action. She wants to empower individuals and see policy catch up. In Cyber Privacy, Doss demystifies the digital footprints we leave in our daily lives and reveals how our data is being used—sometimes against us—by the private sector, the government, and even our employers and schools. She explains the trends in data science, technology, and the law that impact our everyday privacy. She tackles big questions: how data aggregation undermines personal autonomy, how to measure what privacy is worth, and how society can benefit from big data while managing its risks and being clear-eyed about its cost. It's high time to rethink notions of privacy and what, if anything, limits the power of those who are constantly watching, listening, and learning about us. This book is for readers who want answers to three questions: Who has your data? Why should you care? And most important, what can you do about it?
Author: Helen Nissenbaum Publisher: Stanford University Press ISBN: 0804772894 Category : Law Languages : en Pages : 304
Book Description
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.
Author: Jaap-Henk Hoepman
Author: Jaap-Henk Hoepman
Author: Cynthia Dwork
Author: Marc Rotenberg
Author: Colin J. Bennett
Author: Scott Skinner-Thompson
Author: Nishant Bhajaria
Author: Peter Swire
Author: Garret Keizer
Author: April Falcon Doss
Author: Helen Nissenbaum