Secure Recommender Algorithm for Information Data of Wireless Sensor Nodes under Spoofing Attacks
Fake attacks disguised as legitimate communication entities send false information or commands to sensor nodes in wireless sensor networks,reducing the efficiency of network information data recommendation and affecting network security.Therefore,a wireless sensor information data security recommendation algorithm under impersonation attacks is studied to ensure communication quality.The trust level of neighboring nodes in wireless sensor networks under impersonation attacks is calculated,and nodes with higher trust values are selected to form an alternative recommended set of wireless sensor nodes.Data denoising,impersonation attack detection,and recon-struction processing are conducted on the recommended set of candidate nodes,and user-defined labels are mapped to standard labels to establish a node model that can evade attacks.Wireless sensor nodes that can evade attacks are acquired for networking.The simulation results show that the proposed algorithm has a recall rate higher than 88％,an average response time lower than 390 ms,and MAE and RMAE lower than 1.09％ and 0.95％ under impersonation attacks.It is proven that the proposed algorithm performs well in recommen-ding wireless sensor node information data,improves the communication quality and efficiency of wireless sensor networks,and ensures transmission security and reliability.
wireless sensor networkcounterfeiting attackssafety recommendationstrust leveluser interest model
万方数据
维普
