Features selection for intrusion detection system using hybridize PSO-SVM
An Intrusion Detection System is software or application which is used to detect thread, malicious activities and the unauthorized access to the computer system and warn the administrators by generating alarms. Features selection process can be considered a problem of global combinatorial opti...
Main Author: | Tabaan, Alaa Abdulrahman |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/67854/1/FSKTM%202017%2022%20IR.pdf |
Similar Items
-
Intrusion detection system PSO seeded k-means approach /
by: Norsyaliza Abd. Razak, 1986-, et al.
Published: (2010) -
Intrusion detection system PSO seeded k-means approach [electronic resource] /
by: Norsyaliza Abd. Razak, 1986-
Published: (2010) -
Ant colony and particle swarm optimization for feature selection in intrusion detection system /
by: Rose Sabrina Md. Tajuddin, 1988-, et al.
Published: (2012) -
Ant colony and particle swarm optimization for feature selection in intrusion detection system [electronic resource] /
by: Rose Sabrina Md. Tajuddin, 1988-
Published: (2012) -
A comparison study of particale swarm optimizzation and differential evolution for feature selection intrusion detection system /
by: Mohamud Sheikh Ali Hussein, 1988- author, et al.
Published: (2014)