Design and Application of Network Security Vulnerability Detection System Based on Artificial Intelligence

DOI

10.2991/978-94-6463-262-0_87How to use a DOI?

Keywords

Artificial intelligence; Network security; Vulnerability detection

Abstract

In order to understand the design and application of network security vulnerability detection system, a design and application research of network security vulnerability detection system based on artificial intelligence is proposed. In this paper, firstly, aiming at the high false alarm rate of network security vulnerability detection methods, an automatic network security vulnerability detection method based on artificial intelligence is designed to improve network security. The network flow table items are obtained, and the discrete function of the feature sample classification subset is established. The obtained discrete degree value is taken as the basis of the normal behavior set of network information. On this basis, the network information features are extracted, the network security situation is described, and the network information is evaluated. From the perspective of artificial intelligence, this paper analyzes the law of network vulnerabilities and realizes automatic detection of vulnerabilities. Practice has proved that this detection method can reduce the false alarm rate of network security vulnerabilities and has high feasibility.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fang Qian
AU  - Jue He
AU  - Jiawei Zeng
PY  - 2023
DA  - 2023/10/09
TI  - Design and Application of Network Security Vulnerability Detection System Based on Artificial Intelligence
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 836
EP  - 842
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_87
DO  - 10.2991/978-94-6463-262-0_87
ID  - Qian2023
ER  -