Data mining: concepts and techniques
Data mining: concepts and techniques
A Wireless Intrusion Detection Method Based on Dynamic Growing Neural Network
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
WIDS: a sensor-based online mining wireless intrusion detection system
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
WiFi miner: an online apriori-infrequent based wireless intrusion system
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
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This paper proposes NeuDetect, which applies a classification rule mining Neural Network technique to wireless network packets captured through hardware sensors for purposes of real time detection of anomalous packets. To address the problem of high false alarm rate confronted by current wireless intrusion detection systems, this paper presents a method of applying artificial neural networks mining classification technique to wireless network intrusion detection system. The proposed system, NeuDetect, solution approach is to find normal and anomalous patterns on pre-processed wireless packet records by comparing them with training data using Back-propagation algorithm.