Self-Organizing Maps
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
POM - A Mobile Agent Security Model against Malicious Hosts
HPC '00 Proceedings of the The Fourth International Conference on High-Performance Computing in the Asia-Pacific Region-Volume 2 - Volume 2
Challenges in Intrusion Detection for Wireless Ad-hoc Networks
SAINT-W '03 Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT'03 Workshops)
Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Intrusion detection techniques for mobile wireless networks
Wireless Networks
Trust- and Clustering-Based Authentication Services in Mobile Ad Hoc Networks
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
An Intrusion Detection Architecture for Ad Hoc Network Based on Artificial Immune System
PDCAT '06 Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies
A Distributed Hierarchical Graph Neuron-Based Classifier: An Efficient, Low-Computational Classifier
ICINIS '08 Proceedings of the 2008 First International Conference on Intelligent Networks and Intelligent Systems
Network Intrusion Active Defense Model Based on Artificial Immune System
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 01
One shot associative memory method for distorted pattern recognition
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
A Hierarchical Graph Neuron Scheme for Real-Time Pattern Recognition
IEEE Transactions on Neural Networks
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Many of the widely used intrusion detection schemes, such as Self Organizing Map and Artificial Immune System, require heavy computational power in order to provide highly accurate results. These schemes have been successfully deployed in wired networks, which have high computational and bandwidth capabilities. Mobile ad hoc networks, however have limited resources and hence deploying such schemes are impractical. We propose a lightweight, low-computation, distributed intrusion detection scheme for mobile ad hoc networks termed the Distributed Hierarchical Graph Neuron (DHGN). The DHGN-based network is a new form of neural network, which consists of a hierarchical graph-based representation of input patterns. This pattern recognition scheme adopts a divide-and-distribute approach that divides an input pattern into a number of subpatterns, which are then concurrently processed for recognition. The first section of this paper provides an in-depth study of mobile ad hoc networks and current intrusion detection implementation in these networks. The second section of the paper provides an overview of the proposed two-stage cooperative intrusion detection system architecture and compares the proposed algorithm with Self Organizing Map classifier. The experiments show that our low computational scheme produced similar classification accuracy results to Self Organizing Map algorithm.