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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: 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: Kristen J. Mathews Publisher: ISBN: 9781402427497 Category : Computer security Languages : en Pages : 1658
Book Description
This comprehensive reference covers the laws governing every area where data privacy and security is potentially at risk -- including government records, electronic surveillance, the workplace, medical data, financial information, commercial transactions, and online activity, including communications involving children.
Author: Julia Lane Publisher: Cambridge University Press ISBN: 1316094456 Category : Mathematics Languages : en Pages : 343
Book Description
Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.
Author: Linnette Attai Publisher: Rowman & Littlefield ISBN: 1475837372 Category : Education Languages : en Pages : 178
Book Description
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.
Author: Nataraj Venkataramanan Publisher: CRC Press ISBN: 1315353768 Category : Computers Languages : en Pages : 296
Book Description
The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and graph data. In addition to helping CIOs protect confidential data, it also offers a guideline as to how this can be implemented for a wide range of data at the enterprise level.
Author: Daniel J. Solove Publisher: Aspen Publishing ISBN: 1543832601 Category : Law Languages : en Pages : 422
Book Description
This short paperback, developed from the casebook Information Privacy Law,contains key cases and materials focusing on privacy issues related to consumer privacy and data security. This book is designed for use in courses and seminars on: Cyberlaw Law and technology Privacy law Information law Consumer law New to the Third Edition: CCPA, biometric privacy laws FTC Facebook Cambridge Analytica case United States v. Gratkowski (Bitcoin and the Fourth Amendment) In re Vizio, Inc. Additional material about TCPA litigation, including Stoops v. Wells Fargo Bank Additional material on the FCC Act Additional material on the Video Privacy Protection Act Barr v. American Association of Political Consultants Topics covered include: Big Data, financial privacy, FCRA, GLBA, FTC privacy and security regulation Identity theft, online behavioral advertising First Amendment limitations on privacy regulation Data breaches, data breach notification statutes Privacy of video watching and media consumptions CFAA, enforcement of privacy policies, marketing use of data, and more
Author: Cyrus Farivar Publisher: Melville House ISBN: 1612196462 Category : Political Science Languages : en Pages : 305
Book Description
A book about what the Cambridge Analytica scandal shows: That surveillance and data privacy is every citizens’ concern An important look at how 50 years of American privacy law is inadequate for the today's surveillance technology, from acclaimed Ars Technica senior business editor Cyrus Farivar. Until the 21st century, most of our activities were private by default, public only through effort; today anything that touches digital space has the potential (and likelihood) to remain somewhere online forever. That means all of the technologies that have made our lives easier, faster, better, and/or more efficient have also simultaneously made it easier to keep an eye on our activities. Or, as we recently learned from reports about Cambridge Analytica, our data might be turned into a propaganda machine against us. In 10 crucial legal cases, Habeas Data explores the tools of surveillance that exist today, how they work, and what the implications are for the future of privacy.
Author: David Salomon Publisher: Springer Science & Business Media ISBN: 038721707X Category : Computers Languages : en Pages : 461
Book Description
Covering classical cryptography, modern cryptography, and steganography, this volume details how data can be kept secure and private. Each topic is presented and explained by describing various methods, techniques, and algorithms. Moreover, there are numerous helpful examples to reinforce the reader's understanding and expertise with these techniques and methodologies. Features & Benefits: * Incorporates both data encryption and data hiding * Supplies a wealth of exercises and solutions to help readers readily understand the material * Presents information in an accessible, nonmathematical style * Concentrates on specific methodologies that readers can choose from and pursue, for their data-security needs and goals * Describes new topics, such as the advanced encryption standard (Rijndael), quantum cryptography, and elliptic-curve cryptography. The book, with its accessible style, is an essential companion for all security practitioners and professionals who need to understand and effectively use both information hiding and encryption to protect digital data and communications. It is also suitable for self-study in the areas of programming, software engineering, and security.
Author: Aris Gkoulalas-Divanis Publisher: Springer ISBN: 3319236334 Category : Computers Languages : en Pages : 832
Book Description
This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.
Author: Nishant Bhajaria
Author: Nishant Bhajaria
Author: Kristen J. Mathews
Author: Julia Lane
Author: Linnette Attai
Author: Nataraj Venkataramanan
Author: Terence Craig
Author: Daniel J. Solove
Author: Cyrus Farivar
Author: David Salomon
Author: Aris Gkoulalas-Divanis