WEB Attack Source Tracing Technology Based on Genetic Algorithm
Ying Ling, Chunyan Yang, Xin Li, Ming Xie, Shaofeng Ming · 2022
While computer technology brings convenience to people's lives and promotes social and economic development, it also brings the security problem of malicious attacks on the network. As a network widely used by people, it is very important to study the traceability technology of corresponding WEB attacks. In order to solve the shortcomings of the existing WEB attack traceability technology research, this paper discusses the types of WEB attacks, traceability technology and the functional equation of genetic algorithm, and aims at the parameter settings and data sets for the application of WEB attack traceability technology based on genetic algorithm. A brief introduction was given. And the structural process of the WEB attack source tracing technology based on genetic algorithm is designed and discussed, and finally the WEB attack source tracing technology based on genetic algorithm and AS source tracing technology are experimentally compared and analyzed in the successful number of path reconstruction of attack data. The experimental data shows that, in the path reconstruction of different path lengths of the WEB attack data, the success times of the genetic algorithm is higher than that of the AS traceability technology. The success times of AS traceability technology is less than 95, so it is verified that the WEB attack traceability technology based on genetic algorithm has a high success rate.