Optimal noise injection energy allocation and collection of energy harvesting attacker under quality-changeable environment

作     者：Lu DONG Tao HAN Xin YUAN Chao DENG 

作者机构：School of Cyber Science and Engineering Southeast University Engineering Research Center of Blockchain Application Supervision and ManagementSoutheast University Ministry of Education School of Automation Southeast University Institute of Advanced Technology Nanjing University of Posts and Telecommunications 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2024年第67卷第11期

页      面：367-368页

核心收录：

学科分类：0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos.62173251  62203113) 

摘      要：Advanced persistent threat(APT) is a powerful attack pattern in which attackers lurk in the system, waiting for opportune moments and launching attacks. Remote state estimation(RSE) is an essential scenario in the cyber-physical system(CPS). The attacker s objective is to take advantage of the vulnerability in the RSE system, expanding the estimation error of the remote estimator(RE). However, the lurking demand compels the attacker to consider harvesting energy from an external quality-changing environment,which also restricts the attacker. It is of great military interest to manage attack energy in an unreliable environment and with limited resources.