An enhancement of classification technique based on rough set theory for intrusion detection system application
An Intrusion Detection System (IDS) is capable to detect unauthorized intrusions into computer systems and networks by looking for signatures of known attacks or deviations of normal activity. However, accuracy performance is one of the issues in IDS application. Meanwhile, classification is one of...
Saved in:
Main Author: | Noor Suhana, Sulaiman |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/29915/1/An%20enhancement%20of%20classification%20technique%20based%20on%20rough%20set%20theoryfor%20intrusion%20detection%20system%20application.wm.pdf http://umpir.ump.edu.my/id/eprint/29915/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rough Set Significant Reduction and Rules of Intrusion Detection System
by: Noor Suhana, Sulaiman, et al.
Published: (2016) -
Rough Set Discretization: Equal Frequency Binning, Entropy/MDL and Semi Naives Algorithms of Intrusion Detection System
by: Noor Suhana, Sulaiman, et al.
Published: (2016) -
Rough Set Discretize Classification of Intrusion Detection System
by: Noor Suhana, Sulaiman, et al.
Published: (2016) -
Indicator selection based on Rough Set Theory
by: Ahmad, Faudziah, et al.
Published: (2009) -
Feature selection using Rough-DPSO in anomaly intrusion detection
by: Zainal, Anazida, et al.
Published: (2007)