Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Scheduling data broadcast in asymmetric communication environments
Wireless Networks
Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Survivable mobile wireless networks: issues, challenges, and research directions
WiSE '02 Proceedings of the 1st ACM workshop on Wireless security
A signal analysis of network traffic anomalies
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Internet intrusions: global characteristics and prevalence
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
A cooperative intrusion detection system for ad hoc networks
Proceedings of the 1st ACM workshop on Security of ad hoc and sensor networks
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
JiST: an efficient approach to simulation using virtual machines: Research Articles
Software—Practice & Experience
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Detection of Packet Forwarding Misbehavior in Mobile Ad-Hoc Networks
WWIC '07 Proceedings of the 5th international conference on Wired/Wireless Internet Communications
MALADY: A Machine Learning-Based Autonomous Decision-Making System for Sensor Networks
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
Wormhole attacks in wireless networks
IEEE Journal on Selected Areas in Communications
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We propose and evaluate an immuno-inspired approach for misbehavior detection in ad hoc wireless networks. Misbehavior is the result of an intrusion, or a software or hardware failure. Our misbehavior detection approach is inspired by the role of co-stimulation and priming in the biological immune system (BIS). We translate priming into a computational paradigm that can increase robustness as well as stimulate energy efficiency of misbehavior detection. We provide a detailed energy consumption analysis with respect to the IEEE 802.11 and IEEE 802.15.4 protocols. We analyze the efficiency of misbehavior detection with co-stimulation and priming. This analysis is complemented with experimental results. We show that co-stimulation and priming introduce new options such as the ability to choose a trade-off between detection performance and energy efficiency. We provide a summary of the challenges related to the design of co-stimulation and priming based architectures. We argue that co-stimulation and priming are rather general paradigms with possible applications in other areas than misbehavior detection.