钥匙(锁)
加密
可识别性
鉴定(生物学)
计算机科学
最优控制
密码学
控制器(灌溉)
密码系统
关系(数据库)
样品(材料)
系统标识
动力系统理论
密钥生成
控制(管理)
数学优化
数学
算法
数据挖掘
人工智能
计算机安全
度量(数据仓库)
机器学习
物理
生物
化学
量子力学
植物
色谱法
农学
作者
Kaoru Teranishi,Tomonori Sadamoto,Aranya Chakrabortty,Kiminao Kogiso
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2021-04-26
卷期号:68 (4): 2183-2198
被引量:2
标识
DOI:10.1109/tac.2022.3174691
摘要
In the state-of-the-art literature on cryptography and control theory, there has been no systematic methodology of constructing cyber-physical systems that can achieve desired control performance while being protected against eavesdropping attacks. In this paper, we tackle this challenging problem. We first propose two novel notions referred to as sample identifying complexity and sample deciphering time in an encrypted-control framework. The former explicitly captures the relation between the dynamical characteristics of control systems and the level of identifiability of the systems while the latter shows the relation between the computation time for the identification and the key length of a cryptosystem. Based on these two tractable new notions, we propose a systematic method for designing the both of an optimal key length to prevent system identification with a given precision within a given life span of systems, and of an optimal controller to maximize both of the control performance and the difficulty of the identification. The efficiency of the proposed method in terms of security level and realtime-ness is investigated through numerical simulations. To the
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