间断连接无线网络利用节点移动产生的通信机会完成数据传输,但网络中的恶意节点通过伪造节点的相遇信息等方法,吸引并丢弃数据,影响网络的运行。该文提出带有黑洞攻击探测的间断连接无线网络数据转发机制,通过节点诚信度、信用度、间接信任度及数据转发能力4维信任属性的评估,获知攻击节点的行为规律,并采用粗糙集理论降低网络运行过程中产生的不确定状态信息引发的误判率,更加准确地对节点的可信性进行判断,进而,合理地为数据选择中继节点。结果表明,所提出的方法能有效提升黑洞节点的辨识率,对网络中其它非协作行为也有一定探测和防御能力,能显著改善网络性能。
Intermittently connected wireless networks transmit data through opportunities caused by nodes' movements. But malicious nodes in the network can attack and delete data by falsifying information about their routings, in order to impact the performance of networks. A data forwarding mechanism with blackhole attacking detection in intermittently connected wireless networks is proposed in this paper. By evaluating 4 trust properties include value of honesty, credit, indirect trust, and data forwarding rate, characteristics of attackers' are summarized directly behaviors. And using the theory of rough set to decrease the rate of mistakes caused by indeterminate information, so that to determine the reliability of nodes accurately, and choose relay nodes reasonably. Results show that, the proposed mechanism can effectively find out attackers while enhancing the reliability of data transmission, and it also can defense some other non-cooperative nodes in the networks. Thus, the utilization of network resource is improved.