State-of-the-Art and Development of Privacy-Enhancing Technologies

EasyChair Preprint 9814

Abstract

Privacy-Enhancing Technologies (PETs) have been developed to securely process and confidently share sensitive data. The two main categories of PETs are those that focus on input privacy and those that focus on output privacy. Input privacy concerns how parties can manipulate data to prevent it from being used outside of a defined context, while output privacy focuses on modifying calculation results so that output data cannot be used to trace back to original inputs.

In this document, we will provide an introduction and overview of PETs by exploring various approaches in the literature. We will conclude this document by discussing the challenges in the adoption of these privacy-preserving technologies. Our aim throughout this paper is to provide a comprehensive understanding of PETs, their application, and the hurdles that must be overcome for widespread adoption.

The implementation of Privacy-Enhancing Technologies (PETs) enables the creation of secure data life cycles, promoting collaboration, trust, and security among those with a stake in the data.

Keyphrases: Fully Homomorphic Encryption, Multiparty Computation, Privacy Enhancing Technologies, Threshold secret sharing, differential privacy, private set intersection, zero-knowledge proofs

@booklet{EasyChair:9814,
  author    = {Yulliwas Ameur and Samia Bouzefrane},
  title     = {State-of-the-Art and Development of Privacy-Enhancing Technologies},
  howpublished = {EasyChair Preprint 9814},
  year      = {EasyChair, 2023}}