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
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.