Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing
Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing
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DOI：
10.1109/tpds.2013.116
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发表时间：
2014-05-01
影响因子：
5.3
通讯作者：
Cho, Jin-Hee
中科院分区：
文献类型：
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作者：
Chen, Ing-Ray;Bao, Fenye;Cho, Jin-Hee
延迟容忍网络（DTN）的特点是高的端到端的延迟，频繁断开，并通过不可靠的无线链路的机会通信。在本文中，我们设计和验证了一个动态的信任管理协议，在DTN环境中的安全路由优化存在行为良好，自私和恶意节点。我们开发了一种新的基于模型的方法来分析我们的信任协议，并通过广泛的模拟验证它。此外，我们解决动态信任管理，即，响应于动态变化的网络条件，在运行时确定并应用最佳操作设置，以最小化信任偏差并最大化路由应用性能。我们进行了比较分析，我们提出的路由协议对贝叶斯信任为基础的和非信任为基础的（PROPHET和流行病）路由协议。结果表明，我们的协议是能够处理自私的行为，并对信任相关的攻击是有弹性的。此外，我们的信任为基础的路由协议可以有效地权衡消息开销和消息延迟的显着增益的交付率。我们的信任为基础的路由协议运行在确定的最佳设置优于贝叶斯信任为基础的路由和PROPHET，并接近理想的性能流行病路由的交付率和消息延迟，而不会产生高的消息或协议维护开销。
Delay tolerant networks (DTNs) are characterized by high end-to-end latency, frequent disconnection, and opportunistic communication over unreliable wireless links. In this paper, we design and validate a dynamic trust management protocol for secure routing optimization in DTN environments in the presence of well-behaved, selfish and malicious nodes. We develop a novel model-based methodology for the analysis of our trust protocol and validate it via extensive simulation. Moreover, we address dynamic trust management, i.e., determining and applying the best operational settings at runtime in response to dynamically changing network conditions to minimize trust bias and to maximize the routing application performance. We perform a comparative analysis of our proposed routing protocol against Bayesian trust-based and non-trust based (PROPHET and epidemic) routing protocols. The results demonstrate that our protocol is able to deal with selfish behaviors and is resilient against trust-related attacks. Furthermore, our trust-based routing protocol can effectively trade off message overhead and message delay for a significant gain in delivery ratio. Our trust-based routing protocol operating under identified best settings outperforms Bayesian trust-based routing and PROPHET, and approaches the ideal performance of epidemic routing in delivery ratio and message delay without incurring high message or protocol maintenance overhead.