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| Malicious Wireless Communication Link Detection of Power Internet of Thing Devices |
| Xiao Yong1, Qian Bin1, Cai Ziwen1, Hong Liang2, Su Sheng2 |
1. Electric Power Research Institute of China Southern Power Grid Guangzhou 510663 China;
2. College of Electrical Engineering Changsha University of Science and Technology Changsha 410114 China |
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Abstract The power internet of thing (IoT) devices dispersed around the user side and most of them communicate with general packet radio service (GPRS) via wireless virtual private network (VPN) provided by internet service provider (ISP). The Power Internet of Thing (IoT) devices could connect to malicious base station and suffer cyber-attack. Although 3G and 4G generation communication support two-way authentication and could prevent from connecting to malicious base station, threat of malicious base station will exist till all the IoT devices communicate with GPRS are replaced since existing IoT device are designed to be backward-compatible. Since IoT device and base station are deployed in fix location, the difference in signal strength profile of legitimate and malicious base station can be utilized as a fingerprinting to detect a malicious base station. Signal strength clustering based approach is proposed to identify malicious base station. Numerical simulation indicates that the proposed approach could adapt to IoT devices with limited computation resource and the malicious base station could be identified within the moving window at easy. The power IoT devices could be hardened with the proposed approach.
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Received: 24 November 2019
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2020, Vol. 35 
