2021 Vol.4 Dec.No4

• Title: Design of Network Security Situational Intelligent Awareness System for Power Generation Group
• Name: Noshina Tariq
• Company: Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan
• Abstract:

  In the face of complex network dimensions in power generation groups, it is difficult for conventional network security situational awareness systems to maintain stable sensing effects in different dimensions, and their generalization capability is relatively poor. To solve this problem, we propose the design of a network security situational intelligence awareness system for power generation groups. In terms of hardware design, sensors are used to collect network situational data, and data transmission within the system is achieved through the RD232 serial port, and communication between the system and the outside is achieved through RS485. In the software design, the target data features are captured based on Gaussian distribution, the time series corresponding to the data are calculated, the health degree variable is introduced, and the intelligent perception of the network security situation is realized after the threshold judgment. The experimental results show that the designed perceptual system has high convergence, low CPU usage, and network latency always below 50ms under different network dimensions, and its generalization capability is improved.

  
  

• Keyword: Power generation group; Network security situation; Intelligent perception; Multi-source sensor; Convergence degree
• DOI: 10.12250/jpciams2021090803
• Citation form: Noshina Tariq.Design of Network Security Situational Intelligent Awareness System for Power Generation Group [J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.15-19

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