Privacy-preserving techniques for protecting large-scale data of cyber-physical systems

Marwa Keshk, Nour Moustafa, Elena Sitnikova, Benjamin Turnbull, Dinusha Vatsalan

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)

Abstract

As Cyber-Physical Systems (CPSs), such as power and gas networks, generate heterogeneous and large-scale data sources from devices and networks, they need efficient privacy- preserving techniques to protect data and systems from cyber attacks. To safeguard CPSs from potential cyber threats, it is vital to identify vulnerabilities of CPSs’ components to prevent Advanced Persistent Threats (APTs) and protect their generated data using privacy-preserving techniques. This paper aims to review the current state of privacy-preserving techniques for protecting CPSs and their networks against cyber attacks. Concepts of Privacy preservation and CPSs are discussed, illustrating CPSs’ components and how they could be hacked using cyber and physical hacking scenarios. Then, types of privacy preservation, including perturbation, authentication, machine learning (ML), cryptography and blockchain, are discussed to demonstrate how they would be applied to protect the original data in CPSs and their networks. Finally, we explain existing challenges, solutions and future research directions of privacy preservation in CPSs.
Original languageEnglish
Title of host publicationProceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages711-717
Number of pages7
ISBN (Electronic)9781728199160
DOIs
Publication statusPublished - Dec 2020
Externally publishedYes
Event16th International Conference on Mobility, Sensing and Networking, MSN 2020 - Tokyo, Japan
Duration: 17 Dec 202019 Dec 2020

Conference

Conference16th International Conference on Mobility, Sensing and Networking, MSN 2020
Country/TerritoryJapan
CityTokyo
Period17/12/2019/12/20

Keywords

  • Privacy preservation
  • cyber-Physical Systems
  • perturbation
  • authentication
  • machine learning
  • cryptography
  • blockchain

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