| Autor: |
Ningxuan Guo, Zhining Lv, Ziheng Hu, Baifeng Ning, Gangfeng Yan, Yinan Wang |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence. |
| DOI: |
10.1145/3377713.3377751 |
| Popis: |
In order to reduce the failure rate of smart grid and effectively improve the security protection capability of power terminals, this paper proposes a power terminal security monitoring method based on business logic consistency. The method can effectively correlate "timing label", "equipment status characteristics" and "business process", and can achieve security monitoring and abnormality detection for common attacks of power terminals from the business level. Based on this method, a monitoring platform for metering service is further built, and simulation experiments are conducted on the platform. The results show that the proposed method and platform can effectively monitor the operation status of power terminals that participating in the metering service. Besides, the method improves the monitoring efficiency and fault identification rate of safety hazards. The research in this paper can be extended to various power business in the power industry. It provides a theoretical basis and implementation method for preventing penetration and safety monitoring of power terminals from the business level. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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