Fuzzy c-means sub-clustering with re-sampling in network intrusion detection

• 主要な著者: Zainal, Anazida, Samaon, Den Fairol, Maarof, Mohd. Aizaini, Shamsuddin, Siti Mariyam
• フォーマット: Book Section
• 出版事項: IEEE 2009
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/14624/; http://dx.doi.org/10.1109/IAS.2009.333

Both supervised and unsupervised learning are popularly used to address the classification problem in anomaly intrusion detection. The classical and challenging task in intrusion detection is how to identify and classify new attacks or variants of normal traffic. Though the classification rate is no...