Research On Malicious Node Detection Of Wireless Sensor Network Based On Reputation Mechanism

Wireless sensor network(WSN)is a new type of wireless network that acquires data information by a large number of sensor nodes and uses wireless communication to transfer data information.The appearance of WSN greatly facilitates the collection,transfer and processing of data information for users.Since WSNs are usually deployed in situations where there is poor personnel control and the environment is harsh,sensor nodes are easily controlled as malicious nodes,which poses a threat to network security.In the face of limited resources and complicated work environment of WSN,the existing malicious node detection methods have the problems of low detection efficiency and complicated detection process of malicious nodes.Aiming at the shortcomings of the existing detection methods,this paper proposed a malicious node detection model of WSN and verified the feasibility and effectiveness of the detection model through the experiments.Firstly,the basic structure and characteristics of WSN were explained,and the importance of malicious node detection for WSN security was analyzed.Several kinds of internal malicious nodes detection methods of WSN was summarized,the advantages and disadvantages of these methods were analyzed.Secondly,a WSN malicious node detection model based on enhanced low energy adaptive clustering hierarchy(enhanced LEACH)routing protocol with reputation mechanism(MDNELRM)was proposed.In this model,the enhanced LEACH routing protocol was used to select the cluster-head nodes and the network was divided into clusters which determined the packets delivery paths in the network.Each node added the node numbers,the reputation evaluation value to the data packets,and sent the data packets to the sink node according to the delivery paths.The sink node parsed the data packets,compared the node numbers in the packets with the source node numbers to form a list of suspicious nodes,then calculated the reputation values of the nodes and compared with the threshold to determine the malicious nodes in the network.Finally,the MNDELRM detection model was implemented by simulation and theeffectiveness of the model for the detection of malicious nodes was verified.In the simulation environment,the malicious node detection effect of MNDELRM model was accessed and the model was also compared with other detection methods.The results show that the MNDELRM model has higher malicious node detection efficiency.