Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The quest for security in mobile ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Performance analysis of the CONFIDANT protocol
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Ariadne: a secure on-demand routing protocol for ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
A Secure Routing Protocol for Ad Hoc Networks
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
SEAD: Secure Efficient Distance Vector Routing for Mobile Wireless Ad Hoc Networks
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
Providing Robust and Ubiquitous Security Support for Mobile Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Stimulating cooperation in self-organizing mobile ad hoc networks
Mobile Networks and Applications
An Acknowledgment-Based Approach for the Detection of Routing Misbehavior in MANETs
IEEE Transactions on Mobile Computing
On eliminating packet droppers in MANET: A modular solution
Ad Hoc Networks
SCAN: self-organized network-layer security in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
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In mobile ad hoc networks, the nodes are dynamically changing and they have a fully decentralised topology. Hence, security is hard to achieve due to the dynamic nature of the relationships between the participating nodes as well as the vulnerabilities and limitations of the wireless transmission medium. We proposed a novel agent-based framework to monitor, detect and isolate misbehaving nodes in the MANET. The proposed framework protect both routing and data forwarding operations, which aiming to improve the efficiency in detecting and isolating misbehaving nodes with a minimum overhead. In this paper, local neighbouring nodes collaboratively monitor and sustain each other. A novel truthfulness rate strategy is introduced in each node to determine the well-behaving nodes. We evaluate through network simulations the effectiveness of the framework in detecting malicious nodes and improving the network performance.