Explainable AI for Adversarial Machine Learning: Enhancing Transparency and Trust in Cyber Security

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Published: Mar 28, 2024
DOI: https://doi.org/10.52783/jes.749
Keywords:
Explainable AI, XAI, Adversarial Machine Learning, Cybersecurity, SHIME, Model-Agnostic, Global, Local, Robustness, Interpretability, Computational Efficiency, Scalability, Feature Importance Analysis, SHAP, LIME, Rule-Based, Counterfactual

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Araddhana Arvind Deshmukh, Sheela Hundekari, Yashwant Dongre, Kirti Wanjale, Vikas Balasaheb Maral, Deepali Bhaturkar

Abstract

Explainable artificial intelligence (XAI) is essential for improving machine learning models' interpretability, transparency, and reliability—especially in challenging and important fields like cybersecurity. These abstract addresses approaches, structures, and evaluation criteria for putting XAI techniques into practice and comparing them, as well as offering a thorough understanding of all the important components of XAI in the context of adversarial machine learning. Model-agnosticism, global/local explanation, adversarial assault resistance, interpretability, computing efficiency, and scalability are all covered in the discussion. Notably, the suggested SHIME approach shows excellent performance in a number of dimensions, making it a promising solution. The need of carefully weighing XAI solutions based on particular application requirements is emphasized in the abstract's conclusion, opening the door for future developments in the field to handle changing difficulties at the nexus of cybersecurity and artificial intelligence.

Article Details

Issue
Vol. 20 No. 1s (2024)
Section
Articles
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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Author Biography

Araddhana Arvind Deshmukh, Sheela Hundekari, Yashwant Dongre, Kirti Wanjale, Vikas Balasaheb Maral, Deepali Bhaturkar

Dr. Araddhana Arvind Deshmukh 

2Sheela Hundekari

3Yashwant Dongre

4Dr. Kirti Wanjale

5Vikas Balasaheb Maral

6Deepali Bhaturkar

Professor, Department of Computer Science & Information Technology (Cyber Security), Symbiosis Skill and Professional University, Kiwale, Pune, aadeshmukhskn@gmail.com

2Associate Professor, MITCOM, MCA department, MIT ADT University , Loni Kalbhor, Pune, Maharashtra, India. Email: sheela.hundekari@mituniversity.edu.in

3Assistant professor (Computer), VIIT college, Kapil Nagar, Kondhwa Budruk Pune, Maharashtra, India. Email: yashwant.dongre@viit.ac.in

4Associate professor, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India. Email: kirti.wanjale@viit.ac.in

5Assistant Professor, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India. Email: vikas.maral@viit.ac.in

6Assistant Professor (IT), International Institute of Information Technology, I2IT, Pune, Maharashtra, India. Email: deepali.bhaturkar11@gmail.com

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