Paper
1 May 2022 Design and implementation of power Internet of Things device security detection system
Donglan Liu, Hao Zhang, Yang Guo, Yingxian Chang, Yong Zhang, Fangzhe Zhang, Xin Liu, Lei Ma
Author Affiliations +
Proceedings Volume 12171, Thirteenth International Conference on Signal Processing Systems (ICSPS 2021); 121710I (2022) https://doi.org/10.1117/12.2631451
Event: Thirteenth International Conference on Signal Processing Systems (ICSPS 2021), 2021, Shanghai, China
Abstract
Power Internet of Things (IoT) devices are increasingly being used in power systems. Due to the variety and complexity of devices, there is no mature solution for security detection. In order to solve this situation, this paper proposes a power Internet of Things device security detection system. Based on key technologies such as device fingerprint identification, network protocol identification and firmware security analysis, comprehensive security analysis is conducted on power Internet of Things devices from the perspectives of vulnerability, configuration security and firmware security. The automatic system design greatly improves the efficiency of users to carry out the detection work. Through the design and implementation of power Internet of Things equipment security detection system, users can quickly and efficiently carry out network access security detection of power Internet of Things equipment. Based on this, it is decided whether to allow the Internet of things devices or systems to access the power system network, avoiding security risks and hidden dangers caused by the Internet of things devices entering the network.
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Donglan Liu, Hao Zhang, Yang Guo, Yingxian Chang, Yong Zhang, Fangzhe Zhang, Xin Liu, and Lei Ma "Design and implementation of power Internet of Things device security detection system", Proc. SPIE 12171, Thirteenth International Conference on Signal Processing Systems (ICSPS 2021), 121710I (1 May 2022); https://doi.org/10.1117/12.2631451
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KEYWORDS
Network security

Information security

Internet

Computer security

Inspection

Fingerprint recognition

Safety

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