Author

Siddhartha Singhal

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#federated learning Review Open access Sep 2026

AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions

This review critically analyzes the cybersecurity research published over the past few years on cyber threats across the various layers of the IIoT architecture, publicly available cybersecurity datasets, evaluation practices, and AI-based intrusion detection methods to provide a pathway toward resilient, adaptive, and operationally deployable cybersecurity solutions for next-generation IIoT.

Siddhartha Singhal, Kakelli Anil Kumar · Frontiers in Big Data · 0 citations

Open access Jul 2026

A cost-sensitive random forest framework for ARP spoofing detection in Internet of Medical Things networks

The proposed Self-Healing IoT-Optimized Random Forest framework provides stable and safety-oriented intrusion detection capability under heterogeneous IoMT deployment conditions while maintaining strict testing independence and robust performance under rigorous evaluation settings.

Siddhartha Singhal, Kakelli Anil Kumar · Frontiers in Big Data · 0 citations