Design of Intelligent Decision System for Information and Communication Network Attacks and Protection Based on Artificial Intelligence

This article aims to design and implement an AI (Artificial intelligence)-based intelligent decision-making system for information and communication network attack and protection, so as to improve the intelligent level of network security protection. In terms of methods, this article uses CNN (Convective Neural Networks) to detect and classify attacks, and combines with the protection strategy library to realize the intelligent protection strategy selection. Through CNN, the system can accurately detect and classify various network attacks, including but not limited to denial of service attacks and botnet activities. Furthermore, the system is equipped with a comprehensive protection strategy library, which can intelligently select and implement the corresponding protection strategy according to the attack detection results, thus realizing fast and effective network security protection. The experimental results show that the system can accurately detect and classify network attacks, and at the same time intelligently choose appropriate protection strategies according to the detection results. Compared with other network security protection methods, this system shows higher detection and protection efficiency. This research provides a new intelligent protection scheme for the field of network security, which is helpful to improve the overall level of network security.