Abstract
In order to improve the reality and whole performance of network intrusion detection system (IDS), after the characteristics of data used in IDS were analyzed, an approach, in which intruders are recognized, was presented in the paper, which was based on immune algorithm (IA) and support vector machine (SVM). In this method, immune algorithm is used to preprocess the network data, SVM is adopted to classify the optimization data, and recognize intruders. Experimental results showed that the method was feasible and efficient.
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Chen, Y.S., Qin, Y.S., Xiang, Y.G., Zhong, J.X., Jiao, X.L. (2011). Intrusion Detection System Based on Immune Algorithm and Support Vector Machine in Wireless Sensor Network. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_54
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DOI: https://doi.org/10.1007/978-3-642-19853-3_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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