Terminal Device Security Early Warning Technology Based on Trusted Computing
In view of the lack of active mechanism for security authentication and risk prediction of terminal equipment at this stage,the key technologies such as dynamic white list trusted authentication technology,isomerization interface integration technology and intelligent alarm technology are introduced to evaluate terminal equipment and data.A radial basis function neural network prediction model based on particle swarm optimization is proposed to predict the risk of terminal equipment.Finally,the effectiveness and feasibility of the model are verified,which would provide data reference and decision support for information security managers.
trusted computingindustrial control safetyterminal equipmentsecurity warning
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