Building an Intrusion Detection System with Neural Network
碩士 === 國立成功大學 === 電機工程學系 === 89 === Previous researches have shown that neural network (NN) is a feasible approach for developing an intrusion detection system (IDS). However, we observe that most of the previous work is valid only for detecting limited kinds of attacks. In addition, there are also...
Main Authors: | Wei-Chuen Yau, 丘偉權 |
---|---|
Other Authors: | Chi-Sung Laih |
Format: | Others |
Language: | en_US |
Published: |
2001
|
Online Access: | http://ndltd.ncl.edu.tw/handle/07344852846045593073 |
Similar Items
-
Building Intrusion Pattern Miner for Snort Network Intrusion Detection System
by: Sout-Fong Chen, et al.
Published: (2003) -
Network Intrusion Detection System Using Neural Network
by: Yen-Cheng Chang, et al.
Published: (2003) -
On the Recurrent Neural Network Based Intrusion Detection System
by: CHEN, SHEN-CHI, et al.
Published: (2019) -
Hybrid Fuzzy and Neural Network for Intrusion Detection System
by: Manar Younis Kashmola, et al.
Published: (2013-10-01) -
AN APPLICATION OF NEURAL NETWORKS IN ANOMALY AND MISUSE DETECTION FOR INTRUSION DETECTION SYSTEM
by: Fang-Yu Tseng, et al.
Published: (2006)