Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks
May 29, 2016 Β· Declared Dead Β· π IEEE Transactions on Control of Network Systems
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Authors
Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
arXiv ID
1605.08962
Category
cs.CR: Cryptography & Security
Cross-listed
eess.SY
Citations
213
Venue
IEEE Transactions on Control of Network Systems
Last Checked
4 months ago
Abstract
This paper considers a method of coding the sensor outputs in order to detect stealthy false data injection attacks. An intelligent attacker can design a sequence of data injection to sensors and actuators that pass the state estimator and statistical fault detector, based on knowledge of the system parameters. To stay undetected, the injected data should increase the state estimation errors while keep the estimation residues small. We employ a coding matrix to change the original sensor outputs to increase the estimation residues under intelligent data injection attacks. This is a low cost method compared with encryption schemes over all sensor measurements in communication networks. We show the conditions of a feasible coding matrix under the assumption that the attacker does not have knowledge of the exact coding matrix. An algorithm is developed to compute a feasible coding matrix, and, we show that in general, multiple feasible coding matrices exist. To defend against attackers who estimates the coding matrix via sensor and actuator measurements, time-varying coding matrices are designed according to the detection requirements. A heuristic algorithm to decide the time length of updating a coding matrix is then proposed.
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