Research On Intrusion Detection In Wireless Local Area Network

As WLAN goes deeply into all aspects of life, the existence of security issues has become one of the important factors that limit the development of the WLAN. Research on detection technology of WLAN attacks, which has been a hot topic in the field of information security, is valuable and significant.This paper makes a research on WLAN features, and proposes a kind of new wireless LAN feature set and attack detection feature construction methods. Combined with support vector machine algorithm, the paper also designs and implements a WLAN attack detection system. The main content of this paper is as follows.1、The paper studies WLAN authentication mechanisms, MAC layer protocol and the most common type of WLAN attack. In this paper, three of the wireless LAN authentication modes and WLAN MAC layer frame type are introduced, focusing on the content of a variety of WLAN management frame. The paper also studies the classification, principle and characteristics of WLAN attack.2、The paper presents a construction method of WLAN attack detection feature set. Firstly, based on WLAN features and traditional detection features, the paper proposes independent features for WLAN attack characteristics, which make up the rate deficiencies of WLAN DoS attack detection by the traditional features. In addition, this paper reduces the dimension of the feature set by principal component analysis method, and the reduction process is under the premise of guaranteed detection accuracy rate, with effectively reducing the cost of the testing process and improving the detection efficiency.3、The paper designs a WLAN attack detection model, and a WLAN attack detection system is implemented. In this paper, based on support vector machine algorithm, the key technology of attack detection on WLAN is proposed, and a WLAN attack detection model is designed. The paper also makes training and testing experiments on WLAN attack detection model by K-fold cross-validation method.4、The paper tests on the WLAN attack detection system. The paper builds a real WLAN test scenarios for making comparative experiments on testing the performance of the system. Experiment results show that the WLAN attack detection model presented in this paper has a high attack detection rate and low false positive rate.