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International Conference on Engineering and Business Management (EBM 2010 PAPERBACK)

Chengdu,China,China,3.24-3.26,2010

ISBN: 978-1-935068-05-1 Scientific Research Publishing, USA

Paperback 6066pp Pub. Date: March 2010

Category: Engineering

Price: $280

Title: Intrusion Detection Technology Based on Machine Learning Method
Source: International Conference on Engineering and Business Management (EBM 2010 PAPERBACK) (pp 5165-5168)
Author(s): Yonghui CAO, School of Economics & Management, Henan Institute of Science and Technology, Xinxiang .R. China, 453003
Abstract: Abstract: The popularization of shared networks and Internet usage demands increases attention on information system security, particularly on intrusion detection. the traditional intrusion detection methods cannot work well with the more and more complicated intrusions. While accuracy is the essential requirement of an IDS, extensibility and adaptability are also critical in today’s network computing environment. So introducing machine learning into intrusion detection systems to improve the performance has become one of the major concerns in the research of intrusion detection. This paper introduces the basic structure of the intrusion detection system and the application of machine learning in intrusion detection, including the Bayesian based method, the neural network based method, the data mining based method and the SVM based method.
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