Research on an Improved Wireless Network Intrusion Detection Algorithm

Data mining technology is applied to the network intrusion detection, and precision of the detection will be improved by the superiority of data mining. This paper, first analyzes the method of wireless network intrusion detection, presents a wireless network intrusion detection algorithm based on association rule mining. The application of fuzzy association rules in the wireless network intrusion detection is mainly discussed; a comparative analysis with the classical algorithm Apriori is made by experiment. The result shows that the fuzzy rule mining algorithm is more convenient than Apriori algorithm.