Simulation on the Malicious Attack Detection of Major Node of Dynamic Sensor Network
Dynamic sensor network is a point-to-point structure network,with the characteristics of multi-hop,acentric and self-organizing network.Its primary node changes will occur as needed,resulting in changes of network topology structure.The traditional method of malicious attacks is detected by attribute targets set according to the fixed topology.For the lower detection accuracy of malicious attacks master node in the dynamic sensor network affected by frequent topology changes,this paper presents a method to detect malicious behavior of dynamic sensor networks based on the weighted average algorithm.Firstly,the malicious information of node changes is weighted.Then the carry data of node's specific flag information is weighted so that the weighting factor of each node is reasonable.Finally,the weighted average of the entire network node is controlled within a certain range,to detect malicious behavior.Through the experiment design and simulation proof,it can be seen that the method of intrusion detection and malicious code attacks blocking has a good effect.
Wireless sensor networkWeighted average algorithmIntrusion detection
NETL
NSTL
万方数据
维普
