COMP 527 Final Project Report
نویسندگان
چکیده
The packets in a mobile wireless ad-hoc network (MANET) are vulnerable to various packet-dropping attacks. Due to the lack of a centralized monitoring mechanism, it is a challenging problem to identify the attackers that launch the packet-dropping attacks in MANET. The existing DoS defensive techniques have not provided a scheme to efficiently and effectively solve this challenging problem. Hence we present a scheme, called CATCH, which constructs cryptographically-verifiable proofs for packet transmissions and identify the attackers by systematically investigating the packet transmission proofs from the nodes on a route. CATCH is a distributed scheme, and a source node in the network maintains the packet-dropping metric for every node on the routes to the destinations. The packet-dropping metric is computed based on the past packet forwarding history and provides an important information for a node to evaluate the reliability of a node in forwarding packets. We have evaluated the performance of CATCH protocol in terms of its accuracy of identifying packet droppers in simulated wireless ad-hoc networks using ns-2 network simulator under different network topologies, packet dropping rates, and mobility conditions. In these experiments, CATCH successfully identified more than 85% of packet droppers.
منابع مشابه
- 1 - Final Report for Project , Salience Sensitive Control in Humans and Artificial Systems ( funded under the AIBACS programme )
Final Report for Project, Salience Sensitive Control in Humans and Artificial Systems (funded under the AIBACS programme) H Bowman (PI), B Wyble (RA), CG Johnson (I), PJ Barnard (External Collab), D Sharma (Internal Collab), Su Li (Contributing PhD Student) & P Craston (Contributing PhD Student) 1 Comp Lab, Univ of Kent; 2 MRC Cognition & Brain Sci Unit, Cambridge; & 3 Psych Dept, Univ of Kent
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