| Title | Research on Network Attack and Defense Based on Artificial Intelligence Technology |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Li, Mingxuan, Yang, Zhushi, Zhong, Jinsong, He, Ling, Teng, Yangxin |
| Conference Name | 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) |
| Date Published | jun |
| Keywords | artificial intelligence, artificial intelligence security, automatic binary vulnerability discovering and exploitation system, composability, Human Behavior, Metrics, network attack and defense, pubcrawl, resilience, Resiliency |
| Abstract | 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. |
| DOI | 10.1109/ITNEC48623.2020.9085100 |
| Citation Key | li_research_2020 |
Research on Network Attack and Defense Based on Artificial Intelligence Technology