An Intrusion Detection System for Web Server Based on Smooth Support Vector Machine
碩士 === 國立臺灣科技大學 === 資訊工程系 === 92 === We propose a Web log analysis system based on Smooth Support Vector Machine, using the advantage of machine learning rapidly to improve the system reliability. With the hierarchy of Smooth Support Vector Machine, we can find the category to which the attack belon...
Main Authors: | Lan Shao-Wei, 藍紹緯 |
---|---|
Other Authors: | Horng Shi-Jinn |
Format: | Others |
Language: | zh-TW |
Published: |
2004
|
Online Access: | http://ndltd.ncl.edu.tw/handle/90393999713637569996 |
Similar Items
-
An Application-Based Intrusion Detection System for Web Server
by: Mao-Ji Wang, et al.
Published: (2003) -
On web server intrusion detection --- Application of outlier analysis techniques
by: 陳逸文
Published: (2004) -
Network Intrusion Detection System with the Feature Selection Using Support Vector Machine
by: Yi-Wen Yang, et al.
Published: (2010) -
Network Intrusion Detection System with the Feature Selection Using Support Vector Machine
by: Chen Yen-Cheng, et al.
Published: (2010) -
A Computer Virus Detection System Based on Smooth Support Vector Machine
by: Chan-Wei Chen, et al.
Published: (2004)