An AI-Driven Based Cybersecurity System for Network Intrusion Detection System in Hybrid with EPO and CNNet-LAM-Reference-Cited by-同舟云学术

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An AI-Driven Based Cybersecurity System for Network Intrusion Detection System in Hybrid with EPO and CNNet-LAM

Published:2024-02-09 Issue: Volume: Page:1397-1404
ISSN:
Container-title:2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
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Author:

Anu Disney D¹,Yugha R.¹,Karachi S.Bangaru²,Gangadevi E.³,Balusamy Balamurugan⁴,Gite Shilpa⁵

Affiliation:

1. Sathyabama Institute of Science and Technology,School of Computing,Chennai,600119

2. Sathyabama institute of science and technology,Department of computer science,Chennai,600119

3. Loyola College,Department of Computer Science,Chennai,600034

4. Shiv Nadar University,Delhi-National Capital Region (NCR)

5. Symbiosis Institute of Technology,AIML department,Pune

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486056/10486063/10486517.pdf?arnumber=10486517

Reference28 articles.

1. A One-Dimensional Convolutional Neural Network (1D-CNN) Based Deep Learning System for Network Intrusion Detection

2. A Survey of CNN-Based Network Intrusion Detection

3. Transfer Learning Approach to IDS on Cloud IoT Devices Using Optimized CNN

4. A Study of Network Intrusion Detection Systems Using Artificial Intelligence/Machine Learning

5. Network Intrusion Detection Model Based on CNN and GRU

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