Decentralized event‐triggered synchronization control for complex networks with nonperiodic DoS attacks

Abstract

This article focuses on the issue of decentralized event-triggered synchronization control for complex networks (CNs) under nonperiodic denial-of-service (DoS) attacks. First, to alleviate the pressure on network bandwidth, a decentralized event-triggered scheme is employed at each coupled node to decide whether the synchronization signal is transmitted to the communication network. Then, an event-based synchronization error model is established for CNs under DoS attacks, where the communication network is assumed to be composed of multiple transmission channels and DoS attacks will independently compromise each of channels. Based on the constructed model, sufficient conditions that assuring the secure synchronization of the system are analyzed with the assistance of Lyapunov stability theory. Meanwhile, the synchronization controller gains are designed by solving a set of linear matrix inequalities. The efficiency of the study is finally validated by simulations. K E Y W O R D Scomplex networks (CNs), decentralized synchronization control, DoS attacks, event-triggered scheme INTRODUCTIONComplex networks (CNs) are now widely used to model many practical systems with large scale, such as food webs, subway, power grid and so forth. 1-3 A typical CN is generally composed by a number of nodes each of which represents a real individual and links denoting the relationships between different individuals. Given the architecture characteristic

Successive lag synchronization of nonlinear stochastic networks with arbitrary structure via pinning control

“…) dt + 𝜑 i (𝜉 i (t), 𝜉 i (t − 𝜏), … , 𝜉 i (t − (N − 1)𝜏))d𝜔(t), (1) where 𝜉 i (t) ∈ R n , i ∈  N is the state variable of the ith node. For each node, the nonlinear function f (⋅) governs its local dynamics.…”

“…(ii) Diagonal elements are defined as A ii = 0, i ∈  N . In fact, network (1) does not depend on the diagonal elements of coupling matrix A based on the following definitions of parameters 𝛼 ij and 𝛽 ij :…”

“…Complex networks have received extensive attention because of their wide applications in physics, biological networks, information science, and so on. [1][2][3][4][5] Synchronization is a typical collective behavior on complex networks, which has attracted great interest in many scientific fields. [6][7][8][9] As a special pattern of synchronization on complex networks, successive lag synchronization (SLS) was introduced by Li et al for the first time, 10 which is a generalized form of the lag synchronization (LS).…”

Attack‐parameter‐dependent state feedback controller design for stochastic systems with denial‐of‐service attacks

“…In this model, attacks alternate between sleep and interference states in a periodic fashion. Li et al 18 studied aperiodic DoS attacks that only limited the duration of the attack. Hu et al 19 discussed the case of aperiodic DoS attacks with limited frequency and duration.…”

A Consensus-Based Distributed Two-Layer Control Strategy with Predictive Compensation for Islanded Microgrid CPS against DoS Attack

“…In References [23,24], aiming at the insufficient tolerance of MG to DoS attacks when edge routers in microgrid suffer from DoS attacks, a consensus-based secondary frequency controller with dynamic P-f droop control is proposed and its stability is analyzed. References [25,26] study the realization of cyber-physical system security and stability control issues in complex networks under non-periodic DoS attacks. However, the above-mentioned literature only studies the network attack on the secondary control level, but does not propose an effective solution to the network attack for a microgrid with third control targets.…”