A Data Intrusion Tolerance Model Based on an Improved Evolutionary Game Theory for the Energy Internet  

作　　者：Song Deng Yiming Yuan 

机构地区：[1]Institute of Advanced Technology,Nanjing University of Posts and Telecommunications,Nanjing,210003,China [2]College of Automation,Nanjing University of Posts and Telecommunications,Nanjing,210003,China

出　　处：《Computers, Materials & Continua》2024年第6期3679-3697,共19页计算机、材料和连续体（英文）

基　　金：supported by the National Natural Science Foundation of China(Nos.51977113,62293500,62293501 and 62293505).

摘　　要：Malicious attacks against data are unavoidable in the interconnected,open and shared Energy Internet(EI),Intrusion tolerant techniques are critical to the data security of EI.Existing intrusion tolerant techniques suffered from problems such as low adaptability,policy lag,and difficulty in determining the degree of tolerance.To address these issues,we propose a novel adaptive intrusion tolerance model based on game theory that enjoys two-fold ideas:(1)it constructs an improved replica of the intrusion tolerance model of the dynamic equation evolution game to induce incentive weights;and (2)it combines a tournament competition model with incentive weights to obtain optimal strategies for each stage of the game process.Extensive experiments are conducted in the IEEE 39-bus system,whose results demonstrate the feasibility of the incentive weights,confirm the proposed strategy strengthens the system’s ability to tolerate aggression,and improves the dynamic adaptability and response efficiency of the aggression-tolerant system in the case of limited resources.

关 键 词：Energy Internet Intrusion tolerance game theory racial competition adaptive intrusion response 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]