Study on Distributed Intrusion Detection System Based on Artificial Intelligence

Abstract

In order to solve the problems of data processing defects and low system intrusion accuracy existing in the current dynamic loading system,a distributed intrusion detection system with complete functions and strong practicability is designed by taking the application of “artificial intelligence technology” as an example.Firstly,on the basis of completing the system architecture and database design,comprehensively analyze the control center and the extended network host of the subregional control center,and then formulate corresponding response countermeasures in strict accordance with the relevant response rules of the response library.Secondly,through the use of the communication module,the intrusion behavior is judged to determine whether the intrusion behavior is abnormal.Again,use the S5720S-28P-SI-AC24-port core switch to exchange related data.Then,through the selection of AD2032 alarm responder,a comprehensive monitoring of external intrusion behavior is carried out.In addition,based on the comprehensive analysis of the main body communication implementation,the Libpcap library function is used to complete the scientific design of the intrusion detection process test.The results show that,under the application background of artificial intelligence technology,the distributed intrusion detection system designed in this paper can obtain high detection accuracy,and its accuracy reaches 99%,which provides an important platform for the later security and stable use of the network support.

Keywords

• artificial intelligence|distributed|intrusion detection system|design|implementation