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Research on Discovery and Classification Technology of Electric Power Marketing Field Terminals

Abstract— In view of the characteristics of diversity, openness, complexity of Electric Power Marketing Field Terminals. There may be some security risks such as illegal terminal access. So the problem of discovery and classification of Electric Power Marketing Field Terminals is need to be solved, and then we can identify the types of illegal terminals in time and take corresponding measures. This paper aims at the diversity of Electric Power Marketing Field Terminals and their own differentiation characteristics, and proposes a technology without agent. Without installing client, it can automatically realize terminal discovery, and so solve the traditional problem of non-agent terminal discovery. At the same time, through K-means clustering algorithm terminal model identification, using unsupervised algorithm to extract and identify terminal type fingerprint information, it can achieve accurate classification of terminals, and provide timely alarm information and equipment data for network control and security protection.

Index Terms— Unsupervised algorithm, K-means clustering algorithm, non-agent, accurate classification, terminal type fingerprint

Xianzhou Gao, Ruxia Yang, Wei Chen, Congcong Shi
Global Energy Interconnection Research Institute, State Grid Key Laboratory of Information & Network Security, CHINA

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Cite: Xianzhou Gao, Ruxia Yang, Wei Chen, Congcong Shi, "Research on Discovery and Classification Technology of Electric Power Marketing Field Terminals," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 580-587, Hong Kong, 15-17 June, 2019.