Research on wireless network association backtracking problem based on Apriori algorithm
Based on the research of wireless network association backtracking problem,this paper proposes a wireless network as-sociation backtracking system based on Apriori algorithm.First,the overall framework of the system is designed;Then,according to the requirements of the system,five key functional modules in the system:data collection,protocol identification,malicious traffic detection,interface visual presentation and association backtracking are studied and designed,and the Apriori association rule mining algorithm in the association backtrace module is improved.Finally,the performance and feasibility of the algorithm and system are ex-perimentally tested.Experimental results show that the improved Apriori algorithm has better performance and smoothness,and is more suitable for mining rules of association rules of wireless network security event information with a large database.The detection rate of wireless network association backtracking system based on Apriori algorithm is more than 80％,indicating that the system can provide more accurate and rich data for the association backtracking module.The system can obtain strong association rules through correlation backtracking and save them;And the operation is stable,the overall performance is high.
万方数据
维普
