Introduction to Privacy Enhancing Technologies, 1st ed. 2021 A Classification-Based Approach to Understanding PETs
Auteur : Adams Carlisle
- 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 explainshow 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).
Date de parution : 10-2021
Ouvrage de 324 p.
15.5x23.5 cm
Thèmes d’Introduction to Privacy Enhancing Technologies :
Mots-clés :
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