Intrusion Detection Using Artificial Intelligence Techniques: Review
Author:
Affiliation:
1. University of Mosul,College of Computer Science and Mathematics,Department of Software,Mosul,Iraq
2. University of Mosul,College of Computer Science and Mathematics,Mosul,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10467177/10467211/10467524.pdf?arnumber=10467524
Reference31 articles.
1. A systematic literature review of methods and datasets for anomaly-based network intrusion detection
2. Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model
3. Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection
4. Survey of intrusion detection systems: techniques, datasets and challenges
5. Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)
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