Hybrid fuzzy techniques for unsupervised intrusion detection system
Network intrusion detection is a complex research problem especially when it deals with unknown patterns. Furthermore, if the amount of audit data instances is large, human labelling becomes tedious, time-consuming, and expensive. A technique which can enhance the learning capability of an anomaly i...
Saved in:
主要作者: | Chimphlee, Witcha |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2008
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/18722/1/WitchaChimphleePFSKSM2008.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Intrusion detection system using hybrid GSA-k-Means
由: Aslahi, Bibi Masoomeh
出版: (2013) -
Hybrid intelligent approach for network intrusion detection
由: Al-Mohammed, Wael Hasan Ali
出版: (2015) -
Hybrid artificial neural network and gravitational search algorithm in intrusion detection system
由: Rahati, Shahdokht
出版: (2013) -
Intrusive system calls analysis for intrusion detection system
由: Ramakrishna, Pathmenanthan
出版: (2004) -
Comparative study between fuzzy C-Means algorithm and artificial immune network algorithm in intrusion detection system
由: Abunada, Ahmed A. A.
出版: (2013)