Study of hybrid Intrusion Detection system

被引：0
|
作者：
Tayel, Mazhar B. [1 ]
Rizk, Mohamed R. M. [1 ]
Mohamedeen, Sherine K. [1 ]
机构：
[1] Fac Engn, Dept Elect Engn, Alexandria, Egypt
来源：
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMPUTER ENGINEERING (ITCE' 2018) | 2018年
关键词：
Hybrid Intrusion Detection; Possibilistic Fuzzy C-means clustering; Artificial Neural Network;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Intrusion Detection System (IDS) has been introduced as a forefront security to detect various attacks. IDS aims to detect intrusions before seriously damage data transmitted in communication network to improve ID the proposed system introduces combined modules to attain better results for the well known ID metrics in addition of the trade-off metrics to characterize each combination. Finally, experiments are carried out to compare among the introduced methods and conclusions are derived.
引用
收藏
页码：115 / 121
页数：7
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