| Title | Research on network security behavior audit method of power industrial control system operation support cloud platform based on FP-Growth association rule algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Cao, Yaofu, Li, Tianquan, Li, Xiaomeng, Zhao, Jincheng, Liu, Junwen, Yan, Junlu |
| Conference Name | 2022 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC) |
| Keywords | automated audit method, Behavioral sciences, Classification algorithms, cloud computing, cloud platform, FP-Growth association rule algorithm, industrial control, industrial control system, industrial control systems, maintenance engineering, Network security, pubcrawl, resilience, Resiliency, Scalability, Systems operation |
| Abstract | With the introduction of the national "carbon peaking and carbon neutrality" strategic goals and the accelerated construction of the new generation of power systems, cloud applications built on advanced IT technologies play an increasingly important role in meeting the needs of digital power business. In view of the characteristics of the current power industrial control system operation support cloud platform with wide coverage, large amount of log data, and low analysis intelligence, this paper proposes a cloud platform network security behavior audit method based on FP-Growth association rule algorithm, aiming at the uniqueness of the operating data of the cloud platform that directly interacts with the isolated system environment of power industrial control system. By using the association rule algorithm to associate and classify user behaviors, our scheme formulates abnormal behavior judgment standards, establishes an automated audit strategy knowledge base, and improves the security audit efficiency of power industrial control system operation support cloud platform. The intelligent level of log data analysis enables effective discovery, traceability and management of internal personnel operational risks. |
| DOI | 10.1109/AIIPCC57291.2022.00092 |
| Citation Key | cao_research_2022 |
Research on network security behavior audit method of power industrial control system operation support cloud platform based on FP-Growth association rule algorithm