Survey of intrusion detection systems: techniques, datasets and challenges
Abstract Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade the credibility of security services, e.g. data confidentiality, integrity, and availability. Numerous intrusion det...
Main Authors: | Ansam Khraisat, Iqbal Gondal, Peter Vamplew, Joarder Kamruzzaman |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-07-01
|
Series: | Cybersecurity |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s42400-019-0038-7 |
Similar Items
-
Improvement of the Classification Performance of an Intrusion Detection Model for Rare and Unknown Attack Traffic
by: Sangsoo Han, et al.
Published: (2021-09-01) -
A Novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
by: Ansam Khraisat, et al.
Published: (2019-10-01) -
Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine
by: Ansam Khraisat, et al.
Published: (2020-01-01) -
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
by: Ansam Khraisat, et al.
Published: (2021-03-01) -
A COMPARISON STUDY FOR INTRUSION DATABASE (KDD99, NSL-KDD) BASED ON SELF ORGANIZATION MAP (SOM) ARTIFICIAL NEURAL NETWORK
by: LAHEEB M. IBRAHIM, et al.
Published: (2013-02-01)