most citedFederated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities

2 citations · 4 across the 4 of their papers we have counts for

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cs.CR2026

Byzantine-Robust Federated Learning Framework with Post-Quantum Secure Aggregation for Real-Time Threat Intelligence Sharing in Critical IoT Infrastructure

Milad Rahmati, Nima Rahmati

The proliferation of Internet of Things devices in critical infrastructure has created unprecedented cybersecurity challenges, necessitating collaborative threat detection mechanis…

cs.CR2025★ 1 cited

Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks

Milad Rahmati

As cyber threats continue to evolve, securing edge networks has become increasingly challenging due to their distributed nature and resource limitations. Many AI-driven threat dete…

cs.CR2025★ 2 cited

Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities

Milad Rahmati

The rapid expansion of the Internet of Things (IoT) ecosystem has transformed various sectors but has also introduced significant cybersecurity challenges. Traditional centralized…