Visible to the public Biblio

Filters: Author is Yang, Zhushi  [Clear All Filters]
2021-05-13
Li, Mingxuan, Yang, Zhushi, Zhong, Jinsong, He, Ling, Teng, Yangxin.  2020.  Research on Network Attack and Defense Based on Artificial Intelligence Technology. 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). 1:2532—2534.
This paper combines the common ideas and methods in offensive and defensive confrontation in recent years, and uses artificial intelligence technology-based network asset automatic mining technology and artificial intelligence technology-based vulnerability automatic exploitation technology, carries out research and specific practices in discovering and using system vulnerability based on artificial intelligence technology, designs and implemented automatic binary vulnerability discovering and exploitation system, which improves improves the efficiency and success rate of vulnerability discovering and exploitation.
2020-05-04
Li, Mingxuan, Yang, Zhushi, He, Ling, Teng, Yangxin.  2019.  Research on Typical Model of Network Invasion and Attack in Power Industrial Control System. 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). 1:2070–2073.

Aiming at the operation characteristics of power industry control system, this paper deeply analyses the attack mechanism and characteristics of power industry control system intrusion. On the basis of classifying and sorting out the attack characteristics of power industrial control system, this paper also attaches importance to break the basic theory and consequential technologies of industrial control network space security, and constructs the network intrusion as well as attack model of power industrial control system to realize the precise characterization of attackers' attack behavior, which provides a theoretical model for the analysis and early warning of attack behavior analysis of power industrial control systems.