Data secrecy and security in computer network based on genetic algorithm

Abstract

In recent years, intrusion detection technology has been greatly developed, but with the development of network security technology, especially hacker attack technology, as well as ecommerce With the rapid development of government and other Internet applications, the existing network scale and speed put forward higher requirements for the execution efficiency and processing ability of intrusion detection system. Traditional detection system usually fails to detect due to the large amount of data to be processed. Therefore, improving the detection and analysis speed has aroused widespread concern of professionals. In this context, in order to effectively improve the detection and analysis speed of intrusion detection system and the overall performance of the system, this paper carries out data confidentiality and security in computer network based on genetic algorithm. This paper first summarizes the research and development of intrusion detection system at home and abroad, summarizes the main problems in the research field of intrusion detection, and introduces the main intrusion detection technology. Aiming at the common shortcomings and problems of the existing intrusion detection system, this paper analyzes the characteristics of network attacks and intrusion, and then makes a comparative study on the theory of genetic algorithm Through the use of genetic algorithm, automatic search optimization and other characteristics, the system adopts host based real-time network data flow, system resource utilization mode, system resource utilization mode, network resource management mode, and so on The access status of the system core files and the detected host anomalies are classified and calculated, which can effectively detect the intrusion behavior. Therefore, the network intrusion detection technology based on genetic algorithm is proposed to study the system.