控制理论与应用2025，Vol.42Issue(7)：1265-1274,10.DOI:10.7641/CTA.2024.30572
热网FDI攻击的非侵入式检测方法
Non-intrusive detection method of FDI attack in heating network
摘要
Abstract
Aiming at the problem that the heat network is susceptible to network attacks and has large inertia,in order to improve the rapidity and accuracy of heat network attack detection,this paper first proposes a non-invasive online detection method that can amplify the state deviation caused by the attack.This method first summarizes the thermal behavior of the occupants as a black box model,and the house and radiator are summarized as a white box model.The gray box model composed of white box and black box is used to calculate the indoor heat balance state.Secondly,the indoor temperature is used as the intermediate amount of input/lost heat calculation to amplify the system state deviation caused by the attack.Finally,the attack detection is carried out by the multi-matching state prediction method.In order to verify the effectiveness of the proposed method,the Bali heating network model is used for simulation experiments.Compared with the traditional detection method,the proposed method can effectively amplify the state deviation caused by the attack,and the detection speed and detection rate are higher.关键词
FDI/网络攻击/非侵入式检测/灰盒模型/热网Key words
FDI/cyber-attacks/non-intrusive load monitoring/gray box model/heat distributing network引用本文复制引用
刘鑫蕊,张修宇,吴泽群,王睿,孙秋野..热网FDI攻击的非侵入式检测方法[J].控制理论与应用,2025,42(7):1265-1274,10.基金项目
国家自然科学基金项目(62173074),国家重点研发计划项目(2018YFA0702200)资助.Supported by the National Natural Science Foundation of China(62173074)and the National Key R&D Program of China(2018YFA0702200). （62173074）
