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Defensive Resource Allocation Method for Improving Survivability of Communication and Information System in CPPS Against Cyber-attacks
With the widespread use of communication and information technology, power system has been evolving into cyber-physical power system (CPPS) and becoming more vulnerable to cyber-attacks. Therefore, it is necessary to enhance the ability of the communication and information system in CPPS to defend against cyber-attacks. This paper proposes a method to enhance the survivability of the communication and information system in CPPS. Firstly, the communication and information system for critical business of power system is decomposed into certain types of atomic services, and then the survivability evaluation indexes and their corresponding calculation method for the communication and information system are proposed. Secondly, considering the efficacy and cost defensive resources, a defensive resource allocation model is proposed to maximize the survivability of communication and information system in CPPS. Then, a modified genetic algorithm is adopted to solve the proposed model. Finally, the simulation results of CPPS for an IEEE 30-node system verify the proposed method.
Defensive Resource Allocation Method for Improving Survivability of Communication and Information System in CPPS Against Cyber-attacks
With the widespread use of communication and information technology, power system has been evolving into cyber-physical power system (CPPS) and becoming more vulnerable to cyber-attacks. Therefore, it is necessary to enhance the ability of the communication and information system in CPPS to defend against cyber-attacks. This paper proposes a method to enhance the survivability of the communication and information system in CPPS. Firstly, the communication and information system for critical business of power system is decomposed into certain types of atomic services, and then the survivability evaluation indexes and their corresponding calculation method for the communication and information system are proposed. Secondly, considering the efficacy and cost defensive resources, a defensive resource allocation model is proposed to maximize the survivability of communication and information system in CPPS. Then, a modified genetic algorithm is adopted to solve the proposed model. Finally, the simulation results of CPPS for an IEEE 30-node system verify the proposed method.
Defensive Resource Allocation Method for Improving Survivability of Communication and Information System in CPPS Against Cyber-attacks
Yingjun Wu (author) / Hao Xu (author) / Ming Ni (author)
2020
Article (Journal)
Electronic Resource
Unknown
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