文献类型：期刊文献

英文题名：Balancing stealthiness and energy efficiency: optimal attack strategy dependent on historical information under harvesting constraints

作者：Chen, Bei[1]; Huang, Yu[1]; Niu, Yugang[2]; Mao, Dancheng[2]

机构：[1] Shanghai University of Engineering Science, School of Electronic and Electrical Engineering, Shanghai, 201620, China; [2] East China University of Science and Technology, Department of Automation, Shanghai, 200231, China

年份：2026

外文期刊名：IEEE Internet of Things Journal

收录：EI(收录号：20263221271946);Scopus(收录号：2-s2.0-105046789625)

语种：英文

外文关键词：Covariance matrix - Distributed computer systems - Embedded systems - Energy efficiency - Energy harvesting - Errors - Internet protocols - Optimization - Routers - Sensor networks

摘要：This paper considers the problem of optimal stealthy attack for intelligent sensor networks with the multi-channel Round-Robin protocol. Considering attackers with both energy harvesting capabilities and energy constraints, we establish an attack model that incorporates historical information and current innovations. The state error covariance expression under attack and the recursive formulation of remote state estimation errors are derived. By formulating the optimization problem aiming to maximizing the state error covariance under energy constraint and stealthiness, the optimal attack strategy with optimized attack matrices and attack schedule are established. Moreover, a two-phase optimization framework is proposed to solve the above optimization problem. Simulation results demonstrate that the proposed method effectively ensures both attack performance and stealthiness while strictly satisfying energy constraints. ? 2014 IEEE.