Huadian Technology ›› 2021, Vol. 43 ›› Issue (2): 15-21.doi: 10.3969/j.issn.1674-1951.2021.02.003

• Power Data Security • Previous Articles     Next Articles

Research on dynamic trust evaluation mechanism on MAC layer in G3-PLC

DONG Chongchong1(), XIE Wei1, SUN Bingyu1, JIAN Zini2, JIANG Jiu2,*(), WANG Xianpei2()   

  1. 1. State Grid Hubei Electric Power Company Metering Center,Wuhan 430080,China
    2. Electronic Information School,Wuhan University, Wuhan 430072,China
  • Received:2020-07-10 Revised:2021-01-25 Online:2021-02-25 Published:2021-03-05
  • Contact: JIANG Jiu E-mail:414396666@qq.com;jiangjiu@whu.edu.cn;xpwang@whu.edu.cn

Abstract:

G3-PLC is one of the most widely used power line communication standard protocols. It is suitable for applications which make moderate requests on data transmission speed, such as meter reading and smart grid monitoring. In order to ensure the security of power line carrier communication under the standard G3, an extra MAC sensing sublayer was added on the existing MAC communication layer and 6LoWPAN security authentication layer of Media Access Control (MAC) layer, in compliance with the wireless communication security technology standard. And a dynamic trust evaluation mechanism model was constructed to make reasonable allocation of user spectrum resources. The trust mechanism makes evaluation according to users' behavior by reinforcement learning. Taking trust value as the reward and punishment system, the trust value is used as the criterion to distribute spectrum resources between clients. Ensuring that each perception client can be fused with high-reputation nodes in the process of communication,the trust value of malicious users will be reduced. The method can perform correct spectrum sensing, suppress the spectrum resources allocated to malicious users, and finally remove malicious users away from the entire network.

Key words: G3-PLC, wireless communication, smart grid, MAC layer, spectrum resources, trust evaluation model, reinforcement learning, client, server

CLC Number: