Visible to the public Trust-Based Protocol for Securing Routing in Opportunistic Networks

TitleTrust-Based Protocol for Securing Routing in Opportunistic Networks
Publication TypeConference Paper
Year of Publication2017
AuthorsWu, X., Xiao, J., Shao, J.
Conference Name2017 13th IEEE Conference on Automation Science and Engineering (CASE)
ISBN Number978-1-5090-6781-7
KeywordsAd hoc networks, black-hole attack, composability, delivery success ratio, dynamic network topology, end-to-end connection, gray-hole attack, malicious nodes, Mathematical model, Opportunistic Networks, Packet loss, pubcrawl, resilience, Resiliency, Routing, Routing protocols, Scalability, securing routing, store-carry-forward mechanism, telecommunication network topology, telecommunication security, Trust Routing, trust-based routing protocol

It is hard to set up an end-to-end connection between source and destination in Opportunistic Networks, due to dynamic network topology and the lack of infrastructure. Instead, the store-carry-forward mechanism is used to achieve communication. Namely, communication in Opportunistic Networks relies on the cooperation among nodes. Correspondingly, Opportunistic Networks have some issues like long delays, packet loss and so on, which lead to many challenges in Opportunistic Networks. However, malicious nodes do not follow the routing rules, or refuse to cooperate with benign nodes. Some misbehaviors like black-hole attack, gray-hole attack may arbitrarily bloat their delivery competency to intercept and drop data. Selfishness in Opportunistic Networks will also drop some data from other nodes. These misbehaviors will seriously affect network performance like the delivery success ratio. In this paper, we design a Trust-based Routing Protocol (TRP), combined with various utility algorithms, to more comprehensively evaluate the competency of a candidate node and effectively reduce negative effects by malicious nodes. In simulation, we compare TRP with other protocols, and shows that our protocol is effective for misbehaviors.

Citation Keywu_trust-based_2017