Title | Automatic Security Monitoring Method of Power Communication Network Based on Edge Computing |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Ou, Qinghai, Song, Jigao, Wang, Xuanzhong |
Conference Name | 2021 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) |
Keywords | automatic monitoring, Communication networks, Data models, delays, edge computing, Human Behavior, human behaviors, mobile nodes, Network security, power communication, power transmission lines, pubcrawl, radio frequency identification, Real-time Systems, resilience, Resiliency, RFID, RFIDs, Wireless communication |
Abstract | The power communication network generates a large amount of data. The existing security monitoring method needs to use a large transmission bandwidth in the process of data processing, which leads to the decrease of real-time response. Therefore, an automatic monitoring method of power communication network security based on edge computing is proposed. The paper establishes the power communication monitoring network architecture by combining RFID identification sensor network and wireless communication network. The edge calculation is embedded to the edge side of the power communication network, and the data processing model of power communication is established. Based on linear discriminant analysis, the paper designs a network security situation awareness assessment model, and uses this model to evaluate the real-time data collected by the power communication network. According to the evaluation results, the probability of success of intrusion attack is calculated and the security risk monitoring is carried out for the intrusion attack. The experimental results show that compared with the existing monitoring methods, the edge based security monitoring method can effectively reduce communication delay, improve the real-time response, and then improve the intelligent level of power communication network. |
DOI | 10.1109/ICPICS52425.2021.9524273 |
Citation Key | ou_automatic_2021 |