Sciweavers

214 search results - page 3 / 43
» The Feature Selection and Intrusion Detection Problems
Sort
View
IJON
2006
146views more  IJON 2006»
13 years 5 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
CNSR
2007
IEEE
13 years 11 months ago
Testing Intrusion Detection Systems in MANET: A Comprehensive Study
In this paper, we study the problem of testing Intrusion Detection Systems (IDS) in Mobile Ad hoc Networks (MANET). Testing is achieved by simulating different measurements. We mo...
Hadi Otrok, Joey Paquet, Mourad Debbabi, Prabir Bh...
IEEECIT
2010
IEEE
13 years 3 months ago
Selective and Early Threat Detection in Large Networked Systems
—The complexity of modern networked information systems, as well as all the defense-in-depth best practices, require distributed intrusion detection architectures relying on the ...
Michele Colajanni, Mirco Marchetti, Michele Messor...
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
13 years 11 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
MOBICOM
2000
ACM
13 years 9 months ago
Intrusion detection in wireless ad-hoc networks
As the recent denial-of-service attacks on several major Internet sites have shown us, no open computer network is immune from intrusions. The wireless ad-hoc network is particula...
Yongguang Zhang, Wenke Lee