Novel attack‐defense framework for nonlinear complex networks: An important‐data‐based method

Abstract

This article addresses the state estimation problem for a class of nonlinear complex networks (CNs) under attack. First, a novel important-data-based (IDB) attack strategy is skillfully proposed from the adversary's point of view to maximize the attack effect. Different from most existing attack models, the IDB attacker has the ability to eavesdrop measurements and only attacks the packets which play an important role in the system. As such, a larger system performance degradation can be expected. Second, a new kind of resilient H ∞ estimator is designed, from the perspective of the defenders, to alleviate the negative effect of the attack. In a word, a novel unified attack-defense framework for nonlinear CNs is established. In order to make up for the defect that the IDB attacker's parameter is unknown to the defender, an algorithm is developed to approximate the attack parameter. With the help of the Lyapunov functional method, sufficient conditions are obtained to resist the proposed IDB attack and ensure the H ∞ performance of the augmented system. At last, two examples are given to demonstrate the destructiveness of the proposed IDB attack strategy and the effectiveness of the developed resilient H ∞ estimator, respectively.

Dynamic‐event‐based state estimation of complex networks against attacks and innovation outliers: The probability constraint case

“…, where c l and c l are the scalars to be derived. To solve the inequality (23), the following lemma will be utilized.…”

“…The denial‐of‐service (DoS) attack, the replay attack and the deception attack 19‐22 are three extensively used attack behaviors by the adversaries. It is noteworthy that in engineering practice, these attack behaviors might be failed because of the employment of protection equipments 23 . Thus, in many cases the hostile attacks are characterized by some random sequences 24 .…”

“…It is noteworthy that in engineering practice, these attack behaviors might be failed because of the employment of protection equipments. 23 Thus, in many cases the hostile attacks are characterized by some random sequences. 24 In most of the cyber-attack-related literature, it is often the case that only one type of attack behavior is considered.…”

Adaptive event‐triggering mechanism‐based N‐step predictive load frequency control for power systems with cyber attack

“…It is worth mentioning that the deception attack model used in most literatures is quite standard, and the energy constraint problem is ignored by researchers. In view of this, a new multimodal and energy‐constrained deception attack model is proposed in reference 26,27 to describe the complex and covert behavior of deception attacks, and the influence of attack energy on system performance is quantitatively analyzed. More interestingly, some works investigate the network security and the communication efficiency in an unified way, please refer to References 28–30.…”

Observer‐based event‐triggered security control for nonlinear networked control systems with cyber attacks

“…During recent years, the related issues of nonlinear networked control systems (NCSs) have received widespread attention from scholars [1][2][3][4][5] with the development of some intelligent control technologies. [6][7][8][9][10][11][12][13][14][15][16][17] With the development of NCSs, nonlinear terms inevitably appear in the control system. The Takagi-Sugeno (T-S) fuzzy model, as a mathematical technique for linearizing nonlinear systems, has been proven to be effective in characterizing and describing the nonlinear NCSs.…”