Intelligent intrusion detection system in local wireless networks
Nowadays wireless networks, including local ones, continue to evolve rapidly. However security in these networks does not often correspond to the required level, as objects of wireless infrastructure have vulnerabilities and are susceptible to various network attacks. One of the most actual protection means from the wireless attacks are the intrusion detection systems. At the same time, due to the wide possibilities of data mining methods the task of network traffic parameters analysis for the signs of attack can be solved by application of these methods. The article provides an overview of network attacks that are relevant to local wireless networks, the proposed architecture of intrusion detection system based on data mining techniques, as well as a comparison of these methods in detecting the types of attacks mentioned above. The experimental results allow making the conclusion about the practical relevance of the proposed approach for intrusion detection in local wireless networks.