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作 者:靳紫阳 刘玉梅[1] JIN Ziyang;LIU Yumei(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
机构地区:[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001
出 处:《应用科技》2023年第6期82-86,共5页Applied Science and Technology
摘 要:机会网络中的黑洞节点会删除其他节点所传递的消息,严重影响机会网络的性能。为了解决黑洞节点的问题,本文提出了基于节点信誉值的路由算法(reputation-based secure routing,RBSR),该算法利用节点的社会性对节点的行为进行评估,计算出该节点的信誉值,根据它的信誉值来修改该节点的可信度,正常节点将不会向可信度较低的节点传输消息,以此来提高机会网络的安全性。通过机会网络仿真平台(opportunistic network environment,ONE)进行仿真,并与其他路由算法对比,验证了该算法能够降低黑洞节点对于消息的删除比例,保障消息的投递率。Black hole nodes in opportunistic networks will delete the messages transmitted by other nodes,which will seriously affect the performance of opportunistic networks.In order to solve the problem of black hole nodes,this paper proposes a reputation-based secure routing algorithm(RBSR),which uses the sociality of nodes to evaluate the behavior of nodes and calculate the reputation value of the nodes.Modify the credibility of the node according to its reputation value.Normal nodes will not transmit messages to nodes with low credibility,so as to improve the security of opportunistic networks.Finally,through the opportunistic network environment(ONE)simulation,and compared with other routing algorithms,it is verified that the algorithm can reduce the deletion ratio of messages by black hole nodes and ensure the delivery rate of messages.
关 键 词:节点信誉 机会网络 安全路由 ONE仿真平台 黑洞攻击 社会性 消息投递率 消息删除率
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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