| Title | Research on Security Self-defense of Power Information Network Based on Artificial Intelligence |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Yang, Huiting, Bai, Yunxiao, Zou, Zhenwan, Shi, Yuanyuan, Chen, Shuting, Ni, Chenxi |
| Conference Name | 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) |
| Keywords | artificial intelligence, artificial intelligence security, Clustering algorithms, Communication networks, computer network security, defense drills, Electricity, information networks, Monitoring, Network security, network security attack, power engineering computing, power information network security, power system, power system security, power system stability, pubcrawl, security level, self-defense, self-defense research |
| Abstract | By studying the problems of network information security in power system, this paper proposes a self-defense research and solution for power information network based on artificial intelligence. At the same time, it proposes active defense new technologies such as vulnerability scanning, baseline scanning, network security attack and defense drills in power information network security, aiming at improving the security level of network information and ensuring the security of the information network in the power system. |
| DOI | 10.1109/IAEAC47372.2019.8997705 |
| Citation Key | yang_research_2019 |
Research on Security Self-defense of Power Information Network Based on Artificial Intelligence