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  • © 2021

Introduction to Privacy Enhancing Technologies

A Classification-Based Approach to Understanding PETs

Authors:

  • This book covers (including exercises and examples) many of the fundamental, widely known PETs (Privacy Enhancing Technologies), as well as some of the important emerging technologies in this field

  • Targets primarily graduate students (and upper-year undergraduate students) in computer science, software engineering, mathematics, or related fields, who have an interest in algorithms and technologies that can be used to protect privacy in online environments

  • This is the only textbook that presents a general introduction to PETs

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eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-81043-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiii
  2. The Privacy Minefield

    • Carlisle Adams
    Pages 1-19
  3. A Collection of Tools: The Privacy Tree

    • Carlisle Adams
    Pages 21-38
  4. Limiting Exposure by Hiding the Identity

    • Carlisle Adams
    Pages 39-68
  5. Limiting Exposure by Hiding the Action

    • Carlisle Adams
    Pages 69-93
  6. Limiting Disclosure by Hiding the Identity

    • Carlisle Adams
    Pages 109-142
  7. Limiting Disclosure by Hiding the Attribute

    • Carlisle Adams
    Pages 143-173
  8. Using the Privacy Tree in Practice

    • Carlisle Adams
    Pages 209-226
  9. The Path Forward

    • Carlisle Adams
    Pages 227-237
  10. Supplemental Chapters

    1. Front Matter

      Pages 239-239
    2. Crypto Primer

      • Carlisle Adams
      Pages 241-268
    3. Source Material

      • Carlisle Adams
      Pages 269-304
  11. Back Matter

    Pages 305-324

About this book

This textbook provides a unique lens through which the myriad of existing Privacy Enhancing Technologies (PETs) can be easily comprehended and appreciated. It answers key privacy-centered questions with clear and detailed explanations.
Why is privacy important? How and why is your privacy being eroded and what risks can this pose for you? What are some tools for protecting your privacy in online environments? How can these tools be understood, compared, and evaluated? What steps can you take to gain more control over your personal data?

This book addresses the above questions by focusing on three fundamental elements:
  • It introduces a simple classification of PETs that allows their similarities and differences to be highlighted and analyzed;
  • It describes several specific PETs in each class, including both foundational technologies and important recent additions to the field;
  • It explains how to use this classification to determine which privacy goals are actually achievable in a given real-world environment. Once the goals are known, this allows the most appropriate PETs to be selected in order to add the desired privacy protection to the target environment. To illustrate, the book examines the use of PETs in conjunction with various security technologies, with the legal infrastructure, and with communication and computing technologies such as Software Defined Networking (SDN) and Machine Learning (ML).
Designed as an introductory textbook on PETs, this book is essential reading for graduate-level students in computer science and related fields, prospective PETs researchers, privacy advocates, and anyone interested in technologies to protect privacy in online environments.

Keywords

  • Privacy
  • security
  • privacy enhancing technologies (PETs)
  • personally identifiable information (PII)
  • cryptography
  • k-anonymity
  • pseudonymity
  • privacy policies
  • Privacy in machine learning
  • P3P
  • Hippocratic databases
  • Differential privacy
  • Multi-party computation (MPC)
  • Attribute-based encryption (ABE)
  • Credential systems
  • Off-the-Record (OTR) messaging
  • Information Retrieval (PIR)
  • SSL/TLS for privacy
  • Onion routing
  • Tor

Authors and Affiliations

  • School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Carlisle Adams

About the author

Carlisle Adams is a Professor in the School of Electrical Engineering and Computer Science (EECS) at University of Ottawa.  Prior to his academic appointment in 2003, he worked for 13 years in industry (Nortel, Entrust) in the design and international standardization of a variety of cryptographic and security technologies for the Internet.  Dr. Adams’ research interests include all aspects of applied cryptography and security. Particular areas of interest and technical contributions include the design and analysis of symmetric encryption algorithms (including the CAST family of symmetric ciphers), the design of large-scale infrastructures for authentication (including secure protocols for authentication and certificate management in Public Key Infrastructure (PKI) environments), and comprehensive architectures and policy languages for access control in electronic networks (including X.509 attribute certificates and the XACML policy language).

Dr. Adams has maintained a long-standing interest in the creation of effective techniques to preserve and enhance privacy on the Internet.  His contributions in this area include techniques to add delegation, non-transferability, and multi-show to Digital Credentials, architectures to enforce privacy in web-browsing environments, and mechanisms to add privacy to location-based services and blockchains.  He was Co-Chair of the international conference Selected Areas in Cryptography (1997, 1999, 2007, and 2017), and was General Chair of the 7th International Privacy Enhancing Technologies Symposium (2007).

He lives in Ottawa with his wife and children and enjoys music, good food, and classic movies (old and new).

Bibliographic Information

  • Book Title: Introduction to Privacy Enhancing Technologies

  • Book Subtitle: A Classification-Based Approach to Understanding PETs

  • Authors: Carlisle Adams

  • DOI: https://doi.org/10.1007/978-3-030-81043-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-81042-9

  • eBook ISBN: 978-3-030-81043-6

  • Edition Number: 1

  • Number of Pages: XIII, 324

  • Number of Illustrations: 7 b/w illustrations, 14 illustrations in colour

  • Topics: Privacy, Cryptology, Mobile and Network Security, Data and Information Security

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-81043-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)