Information Privacy Engineering And Privacy By Design
Download Information Privacy Engineering And Privacy By Design PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Information Privacy Engineering And Privacy By Design book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Information Privacy Engineering and Privacy by Design
Author: William Stallings
language: en
Publisher: Addison-Wesley Professional
Release Date: 2019-12-06
The Comprehensive Guide to Engineering and Implementing Privacy Best Practices As systems grow more complex and cybersecurity attacks more relentless, safeguarding privacy is ever more challenging. Organizations are increasingly responding in two ways, and both are mandated by key standards such as GDPR and ISO/IEC 27701:2019. The first approach, privacy by design, aims to embed privacy throughout the design and architecture of IT systems and business practices. The second, privacy engineering, encompasses the technical capabilities and management processes needed to implement, deploy, and operate privacy features and controls in working systems. In Information Privacy Engineering and Privacy by Design, internationally renowned IT consultant and author William Stallings brings together the comprehensive knowledge privacy executives and engineers need to apply both approaches. Using the techniques he presents, IT leaders and technical professionals can systematically anticipate and respond to a wide spectrum of privacy requirements, threats, and vulnerabilities—addressing regulations, contractual commitments, organizational policies, and the expectations of their key stakeholders. • Review privacy-related essentials of information security and cryptography • Understand the concepts of privacy by design and privacy engineering • Use modern system access controls and security countermeasures to partially satisfy privacy requirements • Enforce database privacy via anonymization and de-identification • Prevent data losses and breaches • Address privacy issues related to cloud computing and IoT • Establish effective information privacy management, from governance and culture to audits and impact assessment • Respond to key privacy rules including GDPR, U.S. federal law, and the California Consumer Privacy Act This guide will be an indispensable resource for anyone with privacy responsibilities in any organization, and for all students studying the privacy aspects of cybersecurity.
Information Privacy Engineering and Privacy by Design
Organizations of all kinds are recognizing the crucial importance of protecting privacy. Their customers, employees, and other stakeholders demand it. Today, failures to safeguard privacy can destroy organizational reputations - and even the organizations themselves. But implementing effective privacy protection is difficult, and there are few comprehensive resources for those tasked with doing so. In Information Privacy Engineering and Privacy by Design , renowned information technology author William Stallings brings together the comprehensive and practical guidance you need to succeed. Stallings shows how to apply today's consensus best practices and widely-accepted standards documents in your environment, leveraging policy, procedures, and technology to meet legal and regulatory requirements and protect everyone who depends on you. Like Stallings' other award-winning texts, this guide is designed to help readers quickly find the information and gain the mastery needed to implement effective privacy. Coverage includes: Planning for privacy: approaches for managing and controlling the privacy control function; how to define your IT environment's requirements; and how to develop appropriate policies and procedures for it Privacy threats: Understanding and identifying the full range of threats to privacy in information collection, storage, processing, access, and dissemination Information privacy technology: Satisfying the privacy requirements you've defined by using technical controls, privacy policies, employee awareness, acceptable use policies, and other techniques Legal and regulatory requirements: Understanding GDPR as well as the current spectrum of U.S. privacy regulations, with insight for mapping regulatory requirements to IT actions.
Data Privacy
Author: Nishant Bhajaria
language: en
Publisher: Simon and Schuster
Release Date: 2022-03-22
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-offs 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