Improving intrusion detection by the automated generation of detection rules
Rule Based Detection Systems have been successful in preventing attacks on network resources, but suffer a problem in that they are not adaptable in cases where new attacks are made i.e. they need human intervention for investigating new attacks. This paper proposes the creation of a predictive intr...
Saved in:
Main Authors: | Abdulrazaq Almutairi, David J. Parish |
---|---|
Format: | Default Article |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/2134/20716 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving intrusion detection systems using data mining techniques
by: Abdulrazaq Z. Almutairi
Published: (2016) -
Advanced attack tree based intrusion detection
by: Jie Wang
Published: (2012) -
Using the pattern-of-life in networks to improve the effectiveness of intrusion detection systems
by: Francisco J. Aparicio-Navarro, et al.
Published: (2017) -
Automatic dataset labelling and feature selection for intrusion detection systems
by: Francisco Aparicio-Navarro, et al.
Published: (2014) -
A hybrid intrusion detection system for virtual jamming attacks on wireless networks
by: Diego Santoro, et al.
Published: (2017)