An investigation of the Intrusion detection system for the NSL-KDD dataset using machine-learning algorithms
Author:
Affiliation:
1. Zarqa University,Data Science and Artificial Intelligence Department,Zarqa,Jordan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10187212/10187216/10187360.pdf?arnumber=10187360
Reference19 articles.
1. A Review of Artificial Intelligence in Security and Privacy: Research Advances, Applications, Opportunities, and Challenges
2. BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset
3. Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
4. A detailed analysis of the KDD CUP 99 data set
5. Study on decision tree and KNN algorithm for intrusion detection system;pathak;International Journal of Engineering Research & Technology,2020
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1. Network Intrusion Detection Using a Stacking of AI-driven Models with Sampling;2024 IEEE World AI IoT Congress (AIIoT);2024-05-29
2. Intrusion Detection System using CNNs and GANs;WSEAS TRANSACTIONS ON COMPUTER RESEARCH;2024-04-19
3. Intrusion Classification and Detection System Using Machine Learning Models on NSL-KDD Dataset;Lecture Notes in Networks and Systems;2024
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