Explainable AI (XAI) for Trustworthy Cloud Security Decisions

Authors

  • Dr. Karthik Kambhampati

Keywords:

Cloud security, Explainable AI (XAI), anomaly detection, interpretability, trust, machine learning, intrusion detection

Abstract

Cloud computing has emerged as the backbone ofmodern digital infrastructures, offering elastic,
scalable, and cost-effective resources. However,as cloud adoption accelerates,

References

M. T. Ribeiro, S. Singh, and C. Guestrin, 'Why Should I Trust You? Explaining the Predictions of Any Classifier,' KDD, 2016.

S. Lundberg and S. Lee, 'A Unified Approach to Interpreting Model Predictions,' NeurIPS, 2017.

F. Doshi-Velez and B. Kim, 'Towards a Rigorous Science of Interpretable Machine Learning,' arXiv, 2017.

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Published

2023-09-21

How to Cite

Dr. Karthik Kambhampati. (2023). Explainable AI (XAI) for Trustworthy Cloud Security Decisions. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1605–1609. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3490

Issue

Section

Articles