Identification Method of Malicious Nodes in Laser Communication Network Space
In order to enhance the security and stability of network transmission data,this paper presented a meth-od to identify malicious nodes in laser communication network.Based on the analysis of the communication mode of the node,the attribute vectors of average packet forwarding delay,packet forwarding rate and packet loss rate were de-fined.Then,the extreme value of the function was used to calculate the node membership and thus to extract the in-trusion characteristic of the malicious node.According to the historical malicious intrusion data,two-dimensional en-tropy was used to identify different types of malicious nodes,and then the differential characteristics of malicious nodes were screened out.Meanwhile,the structure of identifying malicious nodes was obtained.After that,the spatial feature vectors of malicious nodes were obtained by recognition fraction.Moreover,the two-dimensional entropy of all differential features was optimized to determine the critical value.Finally,we completed the recognition of malicious nodes.Experiment results show that this method identifies malicious nodes accurately,and ensures the operation of la-ser communication network and the safety of user privacy information.
Laser communication networkCyberspaceMalicious node identificationSpatial feature vectorMembership degreeFeature extraction
NETL
NSTL
万方数据
