In order to solve the problem of low safety and low efficiency in distributed data protection in wireless sensor networks, a new method for privacy protection of node location and data in wireless sensor networks is researched in this paper. The author develops a novel architectural framework that observes user-specific patterns to distinguish between legitimate users and illegitimate usera€?s thus enhancing and strengthening user authentication. An engine that calculates the authentication score (the similarity of features of the past and recent behaviors) for a given user is proposed. Simulation results show that the proposed method can improve overall system performance substantially.
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