Intelligent evaluation of computer network security based on neural network

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Wang, Longge^{a; b} | Yu, Junyang^{a; b; *} | Qiao, Baojun^a

Affiliations: [a] School of Software, Henan University, Kaifeng, China | [b] State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Correspondence: [*] Corresponding author. Junyang Yu. E-mail: [email protected].

Abstract: This study aims to use neural network theory to analyze and evaluate computer network security. Firstly, the evaluation model of computer network security was given based on relevant literature, and the corresponding index system was constructed, including 19 indicators of management security, physical security, and logical security. Then, the index normalization standard was proposed and the index security level was set. Finally, computer network security was evaluated according to the neural network. Results show that security management strategy has the greatest impact on computer network security, followed by routing control and data encryption.

Keywords: Neural network, computer, network security, intelligent evaluation

DOI: 10.3233/JIFS-169643

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2887-2891, 2018