Investigating novel machine learning based intrusion detection models for NSL-KDD data sets-Reference-Cited by-同舟云学术

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Investigating novel machine learning based intrusion detection models for NSL-KDD data sets

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on IT and Industrial Technologies (ICIT)
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Author:

Shah Muhammad Huzaifa¹,Abu Bakar Muhammad¹,Ali Raja Hashim¹,Ul Abideen Zain²,Arshad Usama¹,Ijaz Ali Zeeshan¹,Ali Nisar³,Imad Muhammad¹,Nabi Said¹

Affiliation:

1. GIK Institute of Engg. Sciences & Technology,Faculty of Computer Science & Engineering,Topi,Pakistan

2. BCMaterials Basque Center for Materials, Applications & Nanostructure,Spain

3. University of Regina,Faculty of Electronic Systems Engineering,Regina,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335694/10335700/10335831.pdf?arnumber=10335831

Reference25 articles.

1. An Intrusion Detection System for SDN Using Machine Learning

2. A Futuristic Blockchain based Vehicular Network Architecture and Trust Management System

3. Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System

4. Futuristic blockchain based scalable and cost-effective 5G vehicular network architecture

5. A distance sum-based hybrid method for intrusion detection

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