Journal of East China Normal University(Natural Science) ›› 2023, Vol. 2023 ›› Issue (5): 182-192.doi: 10.3969/j.issn.1000-5641.2023.05.015

• Data Analytics • Previous Articles    

Network security assessment based on hidden Markov and artificial immunization in new power systems

Zhi XU1(), Jun CHEN1, Zhiyong ZHANG1, Junling WAN2, Peisen YUAN2,*()   

  1. 1. Measurement Center of Guangxi Power Grid Co. Ltd., Nanning 530024, China
    2. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2023-07-08 Accepted:2023-07-08 Online:2023-09-25 Published:2023-09-15
  • Contact: Peisen YUAN;


Advanced metering infrastructure is an important component in the construction of new power systems; however, advanced measurement systems rely on network information infrastructures and present major security issues. This study evaluates the network security posture of advanced metering systems by combining a hidden Markov model with an artificial immunity algorithm. First, a counting algorithm is used to obtain the security observation data in the power network. Subsequently, the Markov model is used to describe the change in the network security state, whereby the artificial immunity algorithm calculates the transfer probability matrix between different states. The state transfer matrix is then modified based on the state assessment error. Upon calculating the probability of being at different security states at different times and combining it with the risk loss vector, the final value of safety posture is obtained. The experiments demonstrate that the method proposed in this study has a good assessment effect and can capture the safety defects in the system more accurately, ensuring the safe operation of the advanced measurement system by accurately identifying the relevant safety defects in the system for a safe, smooth, and reliable operation of the new grid environment.

Key words: new power system, advanced metering infrastructure, situation assessment, network security, hidden Markov model (HMM), artificial immunization

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