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Research On Data Forwarding Mechanism Of Malicious Collusion Attack Tolerance In Opportunistic Networks

Posted on:2018-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:W Y LiFull Text:PDF
GTID:2348330569486335Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Opportunistic Networks communicates in the way of “store-carry-forward”,it is able to effectively support data transmission between nodes when there exist only intermittent connection between nodes.In Opportunistic Networks,the data transmission depends on the cooperation between nodes,and the efficiency of the data delivery relies on the reasonableness of relay selection.However,in the actual networks,the selfish nodes selectively forward data due to the limitations of resources and social attributes,and the malicious node,by means of active attack,aquires data followed by data discarding.In addition,to avoid attack and enhance the strength of attack,the malicious nodes collude with each other.The misbehavior of nodes badly degrade the performance of network.In order to ensure the reliable delivery of data,efficient and robust data forwarding strategies is urgently needed to be researched.Firstly,with the summarization of the basic concepts and the key technologies of Opportunistic Networks,the existing forwarding mechanisms with trust management are analyzed.Secondly,for existing malicious node detection proposals failed to resist the malicious collusion node,a collusion behavior recognizing(CBR)data forwarding for Opportunistic Networks is proposed which effectively identifies the malicious nodes collusion by nodes' behavior analysis based on the gained historical status information of nodes.Furthermore,creditworthiness,cooperativeness and connectedness were selected as major parameters,after exclude interference with malicious nodes.Results show that CBR can effectively recognize collusion behavior,as well as robustness against collusion attack,and the proposed scheme may achieve efficient and robust data transmission,even with collusion attack.Thirdly,based on the social features of nodes,transient trust based data forwarding mechanism with collusion attack tolerance in Opportunistic Networks is proposed.To detect collusion malicious nodes,the connection of collusion attack behavior is utilized to search for anomalous frequent interaction node set with maximum aggregation density.Further,constructing nodes' transient trust subnet by transient contact distribution obtained by the contact frequency sequence between nodes.Then,the optimal relay node is selected for data forwarding by evaluating the willingness degree and the connection strength between the nodes in the transient trust subnet.The results show that the proposed mechanism can effectively reduce the adverse effects of collusion attacks in the networks and ensure achieve a reliable and efficient data transmission.Lastly,the researches are concluded and the outlook is presented.
Keywords/Search Tags:Opportunistic Networks, data forwarding, trust management, collusion attack
PDF Full Text Request
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