Fuzzy approach for 802.11 wireless intrusion detection

This paper proposes a new fuzzy logic approach to perform analysis and detection intrusion in 802.11 wireless networks. The algorithm consists of five steps: First, construct the networks and generate many cases of daily traffic and intrusion. In the same time, catch different values of system and network parameters and associate to them a potential degree of severity alarm. Second, generate fuzzy rules from numerical data using Mendel Wang method. Third, implement a new rule base on each computer and start system; then adjust it to catch parameters cyclically and compute severity alarm. If it detects intrusion, then it will send a message to every network node. Fourth, in case of errors or no system response would start learning mechanism by injection of numerical values and generate fuzzy rules.