Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
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
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language
Intrusion detection techniques for mobile wireless networks
Wireless Networks
A specification-based intrusion detection system for AODV
Proceedings of the 1st ACM workshop on Security of ad hoc and sensor networks
A cooperative intrusion detection system for ad hoc networks
Proceedings of the 1st ACM workshop on Security of ad hoc and sensor networks
An approach to implement a network intrusion detection system using genetic algorithms
SAICSIT '04 Proceedings of the 2004 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
An Intrusion Detection Tool for AODV-Based Ad hoc Wireless Networks
ACSAC '04 Proceedings of the 20th Annual Computer Security Applications Conference
Nodes bearing grudges: towards routing security, fairness, and robustness in mobile ad hoc networks
EUROMICRO-PDP'02 Proceedings of the 10th Euromicro conference on Parallel, distributed and network-based processing
Applying genetic programming to evolve learned rules for network anomaly detection
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
DEMEM: distributed evidence-driven message exchange intrusion detection model for MANET
RAID'06 Proceedings of the 9th international conference on Recent Advances in Intrusion Detection
Evolutionary computation techniques for intrusion detection in mobile ad hoc networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wireless Personal Communications: An International Journal
Evaluation of classification algorithms for intrusion detection in MANETs
Knowledge-Based Systems
Engineering Applications of Artificial Intelligence
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In recent years mobile ad hoc networks (MANETs) have become a very popular research topic. By providing communication in the absence of a fixed infrastructure they are very attractive for many applications such as tactical and disaster recovery operations and virtual conferences. On the other hand, this flexibility introduces new security risks. Moreover, different characteristics of MANETs make conventional security systems ineffective and inefficient for this new environment. Intrusion detection, which is an indispensable part of a security system, presents also a particular challenge due to the dynamic nature of MANETs, the lack of central points, and their highly constrained nodes. In this paper, we propose to investigate the use of an artificial intelligence based learning technique to explore this difficult design space. The grammatical evolution technique inspired by natural evolution is explored to detect known attacks on MANETs such as DoS attacks and route disruption attacks. Intrusion detection programs are evolved for each attack and distributed to each node on the network. The performance of these programs is evaluated on different types of networks with different mobility and traffic patterns to show their effects on intrusion detection ability.