Ability evaluation method of network security talents in power industry based on artificial intelligence

Wenhui Wang; Guangkai Ge; Longxi Han; Zhenghao Yang

doi:10.1117/12.2667643

1 March 2023 Ability evaluation method of network security talents in power industry based on artificial intelligence

Wenhui Wang, Guangkai Ge, Longxi Han, Zhenghao Yang

Proceedings Volume 12588, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022); 1258811 (2023) https://doi.org/10.1117/12.2667643
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022), 2022, Chongqing, China

Abstract

In view of the poor accuracy of the traditional method to evaluate the ability of network security talents in the power industry, this paper proposes a method to evaluate the ability of network security talents in the power industry based on artificial intelligence. Through the establishment of talent ability evaluation system, it uses artificial intelligence algorithm to calculate the index weight value. According to the index corresponding weight to build the evaluation model,it determines the membership range of the index, and calculates the comprehensive score of the assessor's ability. Then, the paper compares the comprehensive score with the ability classification table and determines the ability level of the assessor to realize the evaluation of talent ability. The effectiveness of the designed evaluation method is verified by the demonstration of comparative experiments. The experimental results show that the evaluation results of the design method are consistent with the actual appraisal results in the process of evaluating the attack and defense penetration index of the network security staff. Therefore, it can be proved that the evaluation method of network security talents in power industry based on the artificial intelligence has high accuracy and objectivity, which is more realistic and helpful for the company to form a personnel management pattern with clear talent positioning and full use of talents.

Citation Download Citation

Wenhui Wang, Guangkai Ge, Longxi Han, and Zhenghao Yang "Ability evaluation method of network security talents in power industry based on artificial intelligence", Proc. SPIE 12588, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022), 1258811 (1 March 2023); https://doi.org/10.1117/12.2667643

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KEYWORDS

Network security

Industry

Artificial intelligence

Defense and security

Design and modelling

Evolutionary algorithms

Fuzzy logic

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