Book description
Technology’s influence on privacy not only concerns consumers, political leaders, and advocacy groups, but also the software architects who design new products. In this practical guide, experts in data analytics, software engineering, security, and privacy policy describe how software teams can make privacy-protective features a core part of product functionality, rather than add them late in the development process.
Ideal for software engineers new to privacy, this book helps you examine privacy-protective information management architectures and their foundational components—building blocks that you can combine in many ways. Policymakers, academics, students, and advocates unfamiliar with the technical terrain will learn how these tools can help drive policies to maximize privacy protection.
Publisher resources
Table of contents
- Foreword
- Preface
- I. Getting Started
- 1. What Is Privacy?
- 2. Personal Data and Privacy
- 3. Case Studies in Data Collection
- 4. Information Security: Protecting Data from Unauthorized Access
- II. Access and Control: Controlling Authorized Data Access
- 5. Security Architecture
- 6. Access Controls
-
7. Data Revelation
- Overview
- The Case for Data Revelation
- Requirements of Data Revelation
- Selective Revelation
- Purpose-Driven Revelation
- Scope-Driven Revelation
- Hybrid Revelation and Practical Scoping
- Designing for Data Revelation
- Strengths and Weaknesses of Data Revelation
- Data Revelation and the Fair Information Practice Principles (FIPPs)
- When to Use Data Revelation
- Conclusion
- III. Oversight: Holding Users and Systems Accountable
- 8. Federated Systems
- 9. Audit Logging
- 10. Data Retention and Data Purging
- IV. Putting It All Together
- 11. Practical Applications and Use Cases
- 12. Enter the Privacy Engineer
- 13. The Future of Privacy
- Index
Product information
- Title: The Architecture of Privacy
- Author(s):
- Release date: September 2015
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491904015
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