Research on Feature Selection of Intrusion Detection Based on Deep Learning
Mingyuan Xin, Yong Wang · 2020
Now the situation of network security is becoming more and more serious. Traditional signature based intrusion detection methods are difficult to deal with the increasing problems of encryption attack detection and Zero Day attack detection. This paper analyzes the advantages and disadvantages of the existing intrusion detection algorithm, focuses on the in-depth study of the intrusion data feature xuan'ze based on deep learning, proposes a new feature selection method, and conducts experiments with the special data set of intrusion detection, and verifies the scientificity and practicability of the theoretical method through full comparative experiments and parameter analysis.