Dynamic Early Warning Method of Classified Information Security for Wireless Sensor Networks
Wireless sensor networks adopt distributed control methods,and static security mechanisms cannot adapt to security require-ments in dynamic environments and cannot respond to security threats in real time.To this end,a dynamic warning method for classified information security in wireless sensor networks is proposed.Binary algorithms are used to select a subset of historical feature informa-tion from sensor network nodes and encode it,based on the ratio of intra class and inter class dispersion,invariant historical intrusion in-formation sensing data features are selected.The intrusion information is preset as a dynamic observation sequence,the forward algorithm is used to calculate the security state value of the wireless sensor network,and dynamic security warning is completed based on this value.The simulation results show that the data tamper capture rate of the proposed method is always above 97％,the average absolute error and relative mean square error are less than 0.35,and the root mean square error is less than 1.35,which can effectively perform dynamic alert and protect the security of wireless sensor networks.
wireless sensor networkdynamic warning of classified informationforward algorithmwithin-class scatterinterclass disper-sionhistorical intrusion informationabnormal link
万方数据
维普
