WANG Yong, LI Jun'e, CHEN Xiong, LIN Hai, YU Fajiang, LUO Jianbo. Remote Attestation for Intelligent Electronic Devices in Smart Grid Based on Trusted Level Measurement[J]. Chinese Journal of Electronics, 2020, 29(3): 437-446. doi: 10.1049/cje.2020.02.019
Citation: WANG Yong, LI Jun'e, CHEN Xiong, LIN Hai, YU Fajiang, LUO Jianbo. Remote Attestation for Intelligent Electronic Devices in Smart Grid Based on Trusted Level Measurement[J]. Chinese Journal of Electronics, 2020, 29(3): 437-446. doi: 10.1049/cje.2020.02.019

Remote Attestation for Intelligent Electronic Devices in Smart Grid Based on Trusted Level Measurement

doi: 10.1049/cje.2020.02.019
Funds:  This work is supported by the Science and Technology Project of State Grid Corporation of China, Security Protection Technology of Embedded Components and Control Units in Power System Terminal (No.2019GW-12).
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  • Corresponding author: LI Jun'e (corresponding author) received the B.S. and M.S. degrees in electrical engineering and computer engineering from Wuhan University of Hydraulic and Electric Engineering, Wuhan, China, in 1986 and 1989, respectively. She received the Ph.D. degree in computer engineering from Wuhan University, Wuhan, China, in 2004. She is currently a Professor with Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China. Her research interests include network architecture, cyber security, cyber-physical systems, and the security of power industrial control systems. (Email:jeli@whu.edu.cn)
  • Received Date: 2019-10-15
  • Rev Recd Date: 2020-02-21
  • Publish Date: 2020-05-10
  • To reduce the implementation complexity and excessive overhead caused by remote attestation, we propose a new remote attestation scheme based on trusted level measurement considering the limited system resources of the Intelligent electronic devices (IEDs) in smart grid. In this scheme, a lightweight trusted level measurement mechanism is designed, and a new dynamic weighted multi-classifier integration method based on Binary tree Support vector machine (BT-SVM) is proposed. The trusted level of configuration information and running state of an IED are measured through trusted third party. The measurement parameters and attestation period are dynamically adjusted according to different trusted levels of an IED, so that reducing computational overhead and communication delays in remote attestation process. Analysis and experiments show that the proposed scheme can enhance the security of IEDs in smart grid by occupying a small amount of computation and communication resources.
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