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Author

Rajkumar Singh Rathore

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2026

Minimum Viable Malware-image Resolution for ESP32-S3 Edge Triage

—Image-based malware classification can achieve high accuracy on workstation-class hardware; however, the suitability of such methods for Internet of Things (IoT) security depends on whether they can produce useful representations that can fit within the physical limitations (memory, latency and energy consumption) of...

Phil Steadman, P. Jenkins, Rajkumar Singh Rathore et al. · 0 citations
Open access Sep 2026

Generative Self-Attention for Adaptive Real-Time Traffic Event Detection in Next-Generation Intelligent Transportation Systems

Experimental analysis on benchmark event -detection dataset demonstrates the effectiveness of the proposed methodology, attaining peak performance values of 0.80 in Normalized mutual information (NMI), 0.73 IN Adjusted Mutual Information (AMI), and 0.72 in Adjusted Rand Index (ARI) across the incremental block of heter...

Sakshi Verma, Sushil Tiwari, Vishal Krishna Singh et al. · 0 citations
Open access 2026

ILAGKDF-IoD: An Intelligent Lightweight Authentication and Group Key Distribution Framework for Covert Communications in Next-Generation Internet of Drones Networks

An Intelligent Lightweight Authentication and Group Key Distribution Framework for Covert Communications in Next-Generation Internet of Drones Networks (ILAGKDF-IoD), which provides a lightweight authentication and group-key management foundation for secure and privacy-preserving communications in intelligent covert-co...

P. Tiwari, Animesh Tripathi, Rajkumar Singh Rathore et al. · 0 citations
#edge computing Open access Sep 2026

Real‐Time Anomaly Detection Using Federated Learning in Edge Devices

This work shows that production‐grade, privacy‐preserving intrusion detection is feasible in IoT networks at the edge, and addresses the concerns of data privacy and non‐IID data distribution inherent to distributed IoT networks.

Vaibhav Joshi, Abishi Chowdhury, Amrit Pal et al. · 0 citations
2026

Confidence-Aware Federated Learning for Smart Load Characterization in Cyber-Physical DER Systems

The integration of smart meters into residential environments has allowed smooth collection of electricity consumption data, which is critical for demand response and coordinated operation in cyber-physical distributed energy resource systems. However, existing centralized methods of consumer characteristic identificat...

Vishal Krishna Singh, Vins Patel, Neeraj Jain et al. · 0 citations
Open access 2026

Tiny-IDS: A Pruned Ensemble Distillation Pipeline for Lightweight and Explainable IoT Intrusion Detection

The results demonstrate the effectiveness of the proposed Tiny-IDS in accurately identifying Mirai botnet attacks on IoT devices along with a minimal memory footprint and low inference time, while also emphasizing the need for IoT-specific evaluation frameworks to support the development of robust and lightweight IDS.

Shyam Bahadur, Sudhanshu Kumar Jha, Rajkumar Singh Rathore et al. · 0 citations
Open access 2026

A Multi-Modal Deep Learning Framework for Robust Polymorphic Malware Detection

A Hybrid Multi-Modal Deep Learning framework that combines visual and structural features reduces modality collapse and creates a much stronger system compared to using either input type on its own, improves detection performance on deeply hidden contemporary threats, including the AveMariaRAT and CobaltStrike families...

Phil Steadman, Paul Jenkins, Rajkumar Singh Rathore et al. · 0 citations

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