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Enhancing Intrusion Detection with Explainable AI: A Transparent Approach to Network Security Cover

Enhancing Intrusion Detection with Explainable AI: A Transparent Approach to Network Security

Cybernetics and Information Technologies
Volume 24 (2024): Issue 1 (March 2024)
By: Seshu Bhavani Mallampati and  Hari Seetha  
Open Access
|Mar 2024
Authors

Authors

Seshu Bhavani Mallampati

bhavani.20phd7017@vitap.ac.in

School of Computer Science and Engineering, VIT-AP University, India

Hari Seetha

seetha.hari@vitap.ac.in

Centre of Excellence, AI and Robotics, VIT-AP University, India
DOI: https://doi.org/10.2478/cait-2024-0006 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 98 - 117
Submitted on: Sep 27, 2023
Accepted on: Dec 14, 2023
Published on: Mar 23, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Cyber security,
Intrusion Detection System (IDS),
Hybrid feature selection,
SMOTE,
Light Gradient Boosting Machine (LGBM)
Related subjects:
Computer sciences,
Information technology

© 2024 Seshu Bhavani Mallampati, Hari Seetha, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 24 (2024): Issue 1 (March 2024)
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