ITCRJun 25, 2020

Distortion based Light-weight Security for Cyber-Physical Systems

arXiv:2006.15998v1
Originality Incremental advance
AI Analysis

This addresses security for distributed control systems, but appears incremental as it builds on recent distortion-based security proposals.

The paper tackles the problem of secure data transmission in Cyber-Physical Systems (CPS) to prevent adversarial manipulation, proposing distortion-based metrics that enable state communication with minimal pre-shared keys, showing it can confuse eavesdroppers effectively.

In Cyber-Physical Systems (CPS), inference based on communicated data is of critical significance as it can be used to manipulate or damage the control operations by adversaries. This calls for efficient mechanisms for secure transmission of data since control systems are becoming increasingly distributed over larger geographical areas. Distortion based security, recently proposed as one candidate for secure transmissions in CPS, is not only more appropriate for these applications but also quite frugal in terms of prior requirements on shared keys. In this paper, we propose distortion-based metrics to protect CPS communication and show that it is possible to confuse adversaries with just a few bits of pre-shared keys. In particular, we will show that a linear dynamical system can communicate its state in a manner that prevents an eavesdropper from accurately learning the state.

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