GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Denial of Service in Sensor Networks
Computer
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Effective Intrusion Detection Using Multiple Sensors in Wireless Ad Hoc Networks
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 2 - Volume 2
DOMINO: a system to detect greedy behavior in IEEE 802.11 hotspots
Proceedings of the 2nd international conference on Mobile systems, applications, and services
The feasibility of launching and detecting jamming attacks in wireless networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Understanding congestion in IEEE 802.11b wireless networks
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Cross-layer design: a survey and the road ahead
IEEE Communications Magazine
Detect DDoS flooding attacks in mobile ad hoc networks
International Journal of Security and Networks
Anomaly-Based intrusion detection algorithms for wireless networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
An automatic and self-adaptive multi-layer data fusion system for WiFi attack detection
International Journal of Internet Technology and Secured Transactions
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Building an efficient Intrusion Detection System (IDS) is a challenging task in wireless ad hoc networks due to the resource constraints and lack of a centralized control. In this work, we present a decentralized monitor-based IDS for detecting jamming type Denial of Service (DoS) attacks at the lower layers of the protocol stack. The varying channel and network dynamics in ad hoc networks can impair service similar to a jamming scenario, resulting in false positives on intrusion detections. To this end, we incorporate a cross-layer design in our IDS to differentiate the malicious jamming behavior from genuine network failures. We validate our design through simulation, and establish the effectiveness of the model. From the simulation results, we observe a significant improvement in the accuracy of detection and lower false positives.