Bro: a system for detecting network intruders in real-time
Computer Networks: The International Journal of Computer and Telecommunications Networking
A cooperative intrusion detection system for ad hoc networks
Proceedings of the 1st ACM workshop on Security of ad hoc and sensor networks
LIDF: Layered intrusion detection framework for ad-hoc networks
Ad Hoc Networks
Wireless mesh networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Real-world performance of current proactive multi-hop mesh protocols
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
A Context Adaptive Intrusion Detection System for MANET
Computer Communications
A hierarchical architecture for detecting selfish behaviour in community wireless mesh networks
Computer Communications
Route Manipulation Attack in Wireless Mesh Networks
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Journal of Network and Computer Applications
A distributed intrusion detection scheme for wireless ad hoc networks
Proceedings of the 27th Annual ACM Symposium on Applied Computing
SCAN: self-organized network-layer security in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
A Distributed and Collaborative Intrusion Detection Architecture for Wireless Mesh Networks
Mobile Networks and Applications
| Hi-index | 0.00 |
In Wireless Mesh Networks (WMNs), mesh nodes cooperate and forward packets from each other in order to extend their communication range and reach nodes outside their transmission coverage. However, malicious nodes may refuse to cooperate by intentionally dropping packets in order to disrupt the integrity of network services. In this paper, we introduce a distributed and cooperative approach for detection of packet dropping attacks. Intrusion detectors are individually placed at each node to passively monitor the node behavior and exchange routing events and detection results with neighboring nodes. Based on the exchanged events, each node is able to instantly detect malicious behavior on the own node's communication link or in the neighborhood. A virtualized mesh network environment composed of virtual machines is used to implement the distributed detection approach and demonstrate its effectiveness and reliability for detecting packet dropping attacks in the mesh network.