Strengthening Cybersecurity using a Hybrid Classification Model with SCO Optimization for Enhanced Network Intrusion Detection System-Reference-Cited by-同舟云学术

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Strengthening Cybersecurity using a Hybrid Classification Model with SCO Optimization for Enhanced Network Intrusion Detection System

Published:2024-03-15 Issue: Volume:2021 Page:1-9
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Pillai Sanjaikanth E Vadakkethil Somanathan¹,Vallabhaneni Rohith²,Pareek Piyush Kumar³,Dontu Sravanthi⁴

Affiliation:

1. School of Electrical Engineering and Computer Science, University of North Dakota,Grand Forks,North Dakota,USA

2. University of the Cumberlands,USA

3. Nitte Meenakshi Institute of Technology,Department of AIML,Bengaluru,India

4. University of the Cumberlands,Department of Information Technology,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10516247.pdf?arnumber=10516247

Reference37 articles.

1. A Distributed Deep Learning System for Web Attack Detection on Edge Devices

2. Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic

3. A Systematic Literature Review of Intrusion Detection System for Network Security: Research Trends, Datasets and Methods

4. Detection of Data imbalance in MANET network based on ADSY-AEAMBi-LSTM with DBO Feature selection

5. Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

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