带有恶意串谋检测的机会感知数据转发机制

针对机会感知现有信任机制无法有效解决节点串谋的问题，提出了一种带有恶意串谋检测的数据转发机制．首先，根据节点间连接状态构建暂态连接子网，同时，在分析异常交互行为的基础上，搜寻具有最大聚集密度的异常频繁交互子集，从而检测出恶意串谋节点；其次，通过建立暂态信任子网，同时利用节点间连接强度和协作意愿评估暂态信任子网内节点间暂态信任关系，进而，选择最佳中继节点完成数据转发．仿真结果表明，所提出的机制可有效地降低串谋攻击对网络性能造成的不良影响，并且能够达到准确高效转发数据的目的．

Malicious collusion detection data forwarding mechanism in opportunistic sensing

Since the existing trust mechanism fails to tackle the problem that malicious nodes cooperate with each other, malicious collusion detection data forwarding in Opportunistic Sensing is proposed. First, the transient connection subnets are constructed according to the state of connection between nodes. At the same time, the anomalous interaction subsets with the maximum aggregation density are searched on the basis of analyzing the abnormal interaction behavior, and the malicious consonants are detected. Second, the transient trust relationship between nodes is evaluated through connection strength and collaboration willingness by establishing the transient trust subnet, so as to select the best relay node for completing data forwarding. Results show that the proposed mechanism can reduce adverse effects of collusion attacks effectively, and can achieve the purpose of accurate and efficient data forwarding.