System Identification With Binary-Valued Observations Under Data Tampering Attacks

With the popularization and application of cyber-physical systems in many industry and infrastructure fields, the security issue has been quite an important concern. This article addresses the defense problem against the data tampering attack under the framework of system identification with binary-valued observations. From the perspective of the attacker, it is shown that how to achieve the maximum hit effect with the least attack energy. From the perspective of the defender, a so-called compensation-oriented defense approach is proposed, and the corresponding identification algorithm is designed. The strong consistency of the algorithm is proved, and the asymptotic normality is obtained, based on which the optimal defense scheme is established. A simulation example is provided to illustrate the effectiveness of the defense algorithm and the main theoretical results.

Automated summary

This article addresses the defense problem against data tampering attack in cyber-physical systems. It shows how attackers aim to achieve maximum hit effect with minimal attack energy. The proposed compensation-oriented defense approach and corresponding identification algorithm prove strong consistency and establish an optimal defense scheme.