Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Detecting Network Intrusions Using Signal Processing with Query-Based Sampling Filter | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 735283 8 pages doi 2009 735283 Research Article Detecting Network Intrusions Using Signal Processing with Query-Based Sampling Filter Liang-Bin Lai Ray-I Chang and Jen-Shiang Kouh Department of Engineering Science and Ocean Engineering National Taiwan University Taipei 10617 Taiwan Correspondence should be addressed to Ray-I Chang rayichang@ Received 2 September 2007 Accepted 16 September 2008 Recommended by Polly Huang This paper presents a novel approach for training a network intrusion detection system based on a query-based sampling QBS filter. The proposed QBS filter applies the concepts of data quantization to signal processing in order to develop a novel classification system. Through interaction with a partially trained classifier the QBS filter can use an oracle to produce high-quality training data. We tested the method with a benchmark intrusion dataset to verify its performance and effectiveness. Results show that selecting qualified training data will have an impact not only on the performance but also on overall execution to reduce distortion . This method can significantly increase the accuracy of the detection rate for suspicious activity and can recognize rare attacks. Additionally the method can improve the efficiency of real-time intrusion detection models. Copyright 2009 Liang-Bin Lai et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction The Internet has become an important resource for information access and a battlefield for business competition. A critical issue arising from the rapid advance of the Internet is information and communication security. Users particularly high volume users are exposed to a wide range of security threats through .
