Dynamic Trust Management for Delay Tolerant Networks and Its Application to Secure Routing

Abstract

The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. 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 based on Stochastic Petri Net (SPN) techniques for the analysis of our trust protocol and validate it via extensive simulation. Moreover, we address ABSTRACTDelay 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 based on Stochastic Petri Net (SPN) techniques 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 existing trust-based (SReD) and non-trust based (PROPHET and epidemic) 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 SReD and PROPHET, and approaches the ideal performance of epidemic routing in delivery ratio and message delay without incurring high message or protocol maintenance overhead.(a) Papers published in peer-reviewed journals (N/A for none)Enter List of papers submitted or published that acknowledge ARO support from the start of the project to the date of this printing. List the papers, including journal references, in the following categories:

Adaptive Network Defense Management for Countering Smart Attack and Selective Capture in Wireless Sensor Networks

“…We also plan to further refine the inside attacker behavior model [2], [48] and extend the analysis to homogeneous or heterogeneous clustered WSNs [21], [26] without a BS. Finally, we also plan to investigate the use of trust/reputation management [13], [27], [47] to strengthen intrusion detection through "weighted voting," lever-aging the knowledge of trust/reputation of neighbor nodes, as well as to tackle the "what paths to use" problem in multipath routing for intrusion tolerance in WSNs. …”

Energy consumption evaluation of SAODV with trust management scheme under gray-hole attacks

“…The trust management is a key factor in Delay Tolerant Networks (DTNs) and Social Networks too. In [10] the authors adopted a dynamic approach to manage the trust formation and aggregation in response to the changing conditions of the network. For inferring trust in mobile social networks, a fuzzy trust inference mechanism is presented in [11].…”

An intelligent approach based on neuro-fuzzy detachment scheme for preventing jamming attack in wireless networks

“…Chen et al [4] proposed a trust management protocol in Delay tolerant networks to detect attackers. The author combines QOS trust with social trust to obtain a composite trust metric.…”