Generation Method of Power Network Security Defense Strategy Based on Markov Decision Process
Aiming at the problem that the current generation method of power network security defense strategy ignores the dependency relationship between nodes, resulting in closed-loop attack graph, which makes the defense strategy not generate attack path, resulting in poor defense effect and long generation response time of power network security defense strategy, a generation method of power network security defense strategy based on Markov decision process is proposed. Based on the generation of network attack and defense diagram, the paper describes the state change of attack network by using Markov decision-making process correlation principle, introduces discount factor, calculates the income value of attack and defense game process, constructs the evolutionary game model of attack and defense, solves the objective function according to the dynamic programming theory, obtains the optimal strategy set and outputs the final results, and generates the power network security defense strategy. The experimental results show that the proposed method has good defense effect and can effectively shorten the generation response time of power network security defense strategy.
Xiong Xinli, Yang Lin, Li Kechao. A Strategy Optimization Model of Moving Target Defense Based on Markov Decision Process [J]. Journal of Wuhan University (Natural Science Edition), 2020, 66(02):141–148.
Song Jiahan, Li Jingjiao, Pi Jie, et al. Research on Attack and Defense Strategy of Substation Network Security Applying Markov Decision Process[J]. Electric Power Construction, 2019, 40(10):104–110.
Meng Xiaodong. Anti-theft method of sensitive data in link network in large data background[J]. Journal of Xi’an Polytechnic University, 2019, 32(02):212–217.
Zhang Xingming, Gu Zeyu, Wei Shuai, et al. Markov game modeling of mimic defense and defense strategy determination [J]. Journal on Communications, 2018, 39(10):143–154.
Yang Junnan, Zhang Hongqi, Zhang Chuanfu. Defense decision-making method based on incomplete information stochastic game.[J]. Chinese Journal of Network and Information Security, 2018, 4(08):12–20.
Liu Jingwei, Liu Jin-Ju, Lu Yuliang, et al. Optimal Defense Strategy Selection Method Based on Network Attack-Defense Game Model [J]. Computer Science, 2018, 45(06):117–123.
Based on Markov Evolutionary Game [J]. Acta Electronica Sinica, 2018, 46(06):1503–1509.
Tian Jiwei, Wang Buhong, Li Xia, et al. Optimal Defense Strategy Against Load Redistribution Attack Based on Game Theory [J]. Computer Simulation, 2018, 35(05):123–127+190.
Pan Qiuyu. Network intrusion detection based on hidden markov model [J]. Information Security and Technology, 2018, 9(04):65–68.
Hu Hao, Liu Yuling, Zhang Hongqi, et al. Route Prediction Method for Network Intrusion Using Absorbing Markov Chain [J]. Journal of Computer Research and Development, 2018, 55(04):831–845.