Wireless Network Safety Status Prediction Based on Fuzzy Logic

In WN environment, network safety status means to state of information managing in various environments, transmission assessment is one primary research directions this territory. Existing awareness methods are difficult adapt real-time changes structure, and environment complex changeable, they can only analyze the current status, it predict overall tendency status. order resist potential attacks, evaluate detect attack a timely manner, paper introduces fuzzy logic propose prediction model for wireless sensor networks, which help administrators perceive comprehensively grasp future advancement direction. assess evaluation (WN) depended on presented. cluster head node, neighborhood rough set used feature extraction reduce energy consumption redundant data node. Balance by synthesizing few over-sampling techniques, then use random forest attacks identify types. Combined with element acquisition mechanism, three indicators, namely frequency, total number threat factor, extracted. According indicators calculation method, value calculated, evaluated referring level divided National Internet Emergency Response Center. Neighborhood applied complete attribute reduction, effectively deal underwater mixed obtain subsets same classification capability as initial data. Safety WSN predicted based forest. The risk degree into subsets, process dynamic designed. Based test values, highest input signal spectrum system 30 mV, lowest -15 consistent selected 120 groups sequence diagram, fluctuation amplitude under 40~62 samples small, basically unchanged, diagram. Fuzzy represented star broken line has higher precision than decision tree limit learning machine all five different mapped grade also express actual indicating that results accurate.