Distortion-Based Lightweight Security for Cyber-Physical Systems

• 成果类型: Article
• 署名作者: Agarwal, Gaurav Kumar; Karmoose, Mohammed; Diggavi, Suhas; Fragouli, Christina; Tabuada, Paulo
• 署名单位: University of California System; University of California Los Angeles
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3006814
• 发表日期: 2021
• 页码: 1588-1601
• 关键词: Distortion; drones; trajectory; encryption; Cyber-physical systems; Information Security

摘要

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 article, we propose distortion-based metrics to protect CPS communication and show that it is possible to confuse adversaries with just a few bits of preshared 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.