An Analysis of Efficient Privacy Preservation Methodologies for Cyber-Physical Systems
Keywords:
Cyber Physical Systems (CPSs), Differential privacy, Health care systems, Industrial Internet of things (IIoT), Privacy preservation, Smart Grid (SG), Transportation systemsAbstract
The growing reliance on Cyber-Physical Systems (CPSs) in our daily lives, driven by advancements in ICT, has unfortunately increased associated security and privacy risks. Attackers are exploiting vulnerabilities to access sensitive data. While traditional privacy methods like encryption and k-anonymity exist, they struggle to keep pace with evolving CPS architectures. Differential Privacy (DP) has emerged as a robust solution to address these shortcomings. This paper comprehensively surveys DP techniques tailored for CPSs, focusing on their application in energy, transportation, healthcare, and Industrial IoT (IIoT) systems. Furthermore, we identify current challenges, open issues, and future research directions for DP within CPSs. This survey aims to serve as a foundation for developing advanced DP strategies to protect data privacy across diverse CPS applications and scenarios.
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