A Distributed Trust Management Scheme for Data Forwarding in Satellite DTN Emergency Communications
A Distributed Trust Management Scheme for Data Forwarding in Satellite DTN Emergency Communications
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DOI：
10.1109/jsac.2018.2804098
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发表时间：
2018-02-01
影响因子：
16.4
通讯作者：
Sun, Zhili
中科院分区：
文献类型：
--
作者：
Asuquo, Philip;Cruickshank, Haitham;Sun, Zhili
当其他通信系统遭到破坏或超负荷时，可以使用卫星通信。观测卫星和延迟/中断容忍网络（DTN）是可以相互连接的技术，为灾后恢复行动提供紧急通信。DTN使用存储-携带-转发机制将消息通过中间节点转发到目的节点。由于缺乏一致的连接，通过多跳节点中继消息的可靠性在DTN中构成了一个重大问题。这些网络特性使得DTN在很大程度上依赖于相邻节点的合作来成功地传递数据包。然而，恶意或自私节点的存在会对网络性能产生很大的影响。在本文中，我们设计了一个分散的信任管理计划（DTMS），以过滤出恶意节点的DTN。首先，转发证据的数量与节点的能量消耗率相结合，以制定直接信任。然后，从间接信任、推荐可信度和推荐熟悉度计算推荐信任。推荐可信度和熟悉度通过过滤不诚实的推荐来提高整体推荐信任度。DTMS的比较分析进行合作看门狗计划，基于推荐的信任模型，喷雾和等待协议。结果表明，DTMS可以有效地处理恶意行为的DTNs，包括信任相关的攻击。
Satellite communications can be used when other communication systems are either destroyed or overloaded. Observation satellites and delay/disruption tolerant networks (DTNs) are technologies that can be interconnected to provide emergency communication for disaster recovery operations. DTNs use a store-carry-forward mechanism to forward messages through intermediary nodes to the destination node. The reliability of relaying messages through multi-hop nodes poses a significant problem in DTNs due to lack of consistent connectivity. These network characteristics make DTNs to heavily rely on the cooperation of neighboring nodes for the successful delivery of packets. However, the presence of malicious or selfish nodes will have a great impact on the network performance. In this paper, we design a decentralized trust management scheme (DTMS) to filter out malicious nodes in DTNs. First, the number of forwarding evidence is combined with the energy consumption rate of the nodes to formulate direct trust. Then, a recommendation trust is computed from the indirect trust, recommendation credibility, and recommendation familiarity. Recommendation credibility and familiarity improve the overall recommendation trust by filtering out dishonest recommendations. A comparative analysis of DTMS is performed against a cooperative watchdog scheme, recommendation based trust model, and spray and wait protocol. The results show that DTMS can effectively deal with malicious behaviors in DTNs including trust related attacks.