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12. An Attack Simulation Method for Power Industry Control System

Author

Cao Jingyi, Ouyang Xuan, Ying Huan, Zhou Liang, and Miao Siwei

Subjects
Protocol data unit, Network security, business.industry, Computer science, Industrial control system, Computer security, computer.software_genre, Encapsulation (networking), Data acquisition, Control system, Electric power industry, business, computer, Hacker
Abstract

In the attack simulation technology, testers simulate hackers to attack the industrial control system, and judge whether the system contains specific security vulnerabilities according to the returned results. This technology has become an important security test method. Firstly, based on the vulnerability mechanism of electric power industry control protocol, this paper puts forward the model of attack data package assembly, confusion and encapsulation. By using multiple types of attack modules to achieve attack data package assembly, mutation and confusion, to ensure that attack data package can bypass the system protection mechanism and have the ability to avoid checking and killing, and then realize the protocol data package encapsulation according to the electric power industry control protocol specification. Secondly, this paper focuses on the test case that malicious message is expanded with the model of counter neural network to generate new effective attack data package, which effectively improves the vulnerability detection rate and reduces the security risk of the system.

Published
2020

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