Hybrid DeepXAI Fusion Network for Interpretable Big Data Analytics and Secure Cloud Decision-Making Systems

Reported by arXiv cs.CR (B. Nancharaiah, Ramakrishna Kolikipogu, J. Sulthan Alikhan, Lakshmana Phaneendra Maguluri, Elangovan Muniyandy, D. Baburao)

Summary by Cyber Security News16 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.20661

arXiv:2610.20661v1 Announce Type: new Abstract: Big data analytics supports modern intelligent systems, but model complexity and limited transparency can undermine interpretability, trust, and security in decision-making. This paper presents the Hybrid DeepXAI Fusion Network, a deep learning framework that integrates temporal, relational, and contextual features with explainable artificial intelligence (XAI) mechanisms.

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