The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.05 - May (2014 vol.25)
pp: 1200-1210
Jin-Hee Cho , Computational and Information Sciences Directorate, US Army Research Laboratory, Powder Mill Rd. Adelphi,
ABSTRACT
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.
INDEX TERMS
Routing, Protocols, History, Optimization, Delays, Quality of service, Analytical models,design and validation, Delay tolerant networks, dynamic trust management, secure routing, performance analysis
CITATION
Jin-Hee Cho, "Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing", IEEE Transactions on Parallel & Distributed Systems, vol.25, no. 5, pp. 1200-1210, May 2014, doi:10.1109/TPDS.2013.116
23 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool