Research On Trust Model In Mobile P2P Networks Based On Dynamic Grouping And Incentives Mechanism

In recent years,with the rapid development of computer networks,mobile peer-to-peer networks are based on their dynamic,autonomous and anonymous features,enabling them to share files in real time.Communication,distributed computing and distributed storage are all brilliant.But in a mobile P2 P network,nodes can be freely traded,and nodes often connect and leave the network,which dynamically changes the network topology.Therefore,when selecting a super node,you must consider the reliability and stability of the super node.The existing trust model of mobile P2 P networks can solve some security problems in the networks,but with the further development of the networks,the overhead of the trust model in terms of computing amount,storage capacity,and network communication are greatly increased,the further application of the trust model has had a huge impact.Based on this topic,this paper probes into the problem of node clustering and malicious node attack in distributed unstructured mobile P2 P networks,and proposes an improved trust model.The specific research contents are as follows:1.In mobile P2 P network,neighboring nodes are not necessarily adjacent in physical location.This will cause a problem of large information delay between adjacent nodes.Combining the possibility that the transaction between nodes with similar interests is relatively large,a Dynamic Grouping-based Super Node Selection Mechanism(DGSM)is proposed.This mechanism considers the similarity of interest vectors between nodes and the distance in the physical topology to dynamically group nodes,then selects each group of super node groups and candidate super nodes according to the threshold filtering algorithm and the node comprehensive capability calculation.Finally,the super node group of the group is dynamically updated according to the super node load condition of each group.The experimental results show that the super node selected by this mechanism provides a lower information retrieval delayand improves the resource positioning success rate to a certain extent in the mobile P2 P networks.2.For the attacks from a variety of malicious nodes to the trust model,the accuracy of the trust model for node trust value calculation is reduced,resulting in the problem of reduced transaction success rate among nodes in the trust model.Under the premise of dynamic grouping,a Trust Model based on Dynamic Grouping and Incentive Mechanism(DGIMTrust)is proposed.The model divides the trust relationship between nodes into trust between nodes in the group and trust between nodes in the group,and gives two different trust calculation methods.In order to curb the harm of the malicious node to the system,the node cooperates and punishes the malicious node through the relative reputation difference in the trust calculation,and uses the feedback information filtering algorithm to eliminate the false and unfair feedback by detecting the correlation of all the nodes.The experimental results show that the model can effectively resist the attacks of common malicious attacks on the model and effectively improve the success rate of resource transactions in the network.