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Author

Shakir Khan

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#federated learning Open access Oct 2026

ATLAS: an adaptive threat learning and analysis system using heterogeneous federated deep learning and FedNova aggregation for multi-cloud environments

The proliferation of multi-cloud architectures has intensified challenges in phishing detection, as security intelligence becomes fragmented across heterogeneous cloud infrastructures governed by stringent privacy regulations and data sovereignty constraints. Conventional centralized threat detection paradigms necessit...

Shakir Khan, Arvind Panwar, Achin Jain et al. · 0 citations
Open access Sep 2026

MST-former: multiparty shared representation enabled transformer for secure medical image analysis

Privacy-preserving collaborative medical image analysis across multiple healthcare institutions remains challenging due to data heterogeneity, patient privacy constraints, and incomplete cross-institutional record alignment. To address these limitations, this paper proposes MST-Former, a multiparty shared transformer...

Shakir Khan, Thamer Alshammari, Fahad Omar Alomary et al. · 0 citations

Blockchain and Quantum FL-Based IDS for Security and Privacy of 6G-Enabled CE

The rapid proliferation of 6G-enabled consumer electronics (CE) has introduced significant security and privacy challenges. Traditional security mechanisms often fall short in addressing these issues due to the unique characteristics of CE networks. To enhance intrusion detection systems (IDSs), data-driven artificial...

Zabeeh Ullah, Fahim Arif, Shakir Khan et al. · 0 citations

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