Probabilistic routing in intermittently connected networks
ACM SIGMOBILE Mobile Computing and Communications Review
Trust Enhanced Secure Mobile Ad-Hoc Network Routing
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Denial-of-Service in Wireless Sensor Networks: Attacks and Defenses
IEEE Pervasive Computing
Reputation-based framework for high integrity sensor networks
ACM Transactions on Sensor Networks (TOSN)
A Protocol for Content-Based Communication in Disconnected Mobile Ad Hoc Networks
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
Pervasive and Mobile Computing
ADHOC-NOW'11 Proceedings of the 10th international conference on Ad-hoc, mobile, and wireless networks
CRISP: collusion-resistant incentive-compatible routing and forwarding in opportunistic networks
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Secure Multi-copy Routing in Compromised Delay Tolerant Networks
Wireless Personal Communications: An International Journal
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In opportunistic networks, the probability of encountering a destination node is popularly used to select a qualified forwarder; however, it can not represent the competency of delivering data in a hostile wireless environment, because a malicious node can bloat its such probability to intercept data from others. In this paper, we design a reputation-based framework to more accurately evaluate an encounter's competency of delivering data, which can be integrated with a large family of existing data forwarding protocols in opportunistic networks. In particular, a special message, called Positive Feedback Message (PFM), is proposed to help monitor the forwarding behavior of a node. We also design a Reputation-Assisted Data forwarding protocol for Opportunistic Networks (RADON), which integrates our reputation framework with a bare-bone data forwarding protocol using the number of times of previous encounters as the metric to select the next qualified forwarder. Through simulation experiments, we demonstrate that RADON effectively improves the network performance (e.g., data delivery ratio) against "black hole" attacks.