Author

Mohammad Aknan

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#federated learning Open access Oct 2026

SHAP-guided adaptive feature weighting for phishing URL detection with a federated learning extension

Abstract Machine-learning phishing URL detectors routinely report accuracies above 97%, yet four weaknesses undermine these results: absent statistical testing, unfair latency benchmarking, uninterpretable predictions, and an inability to use data held privately across organisations. We address all four on the Hannouss...

Kahkashan Kouser, Mohammad Aknan, Onkar Singh et al. · Scientific Reports · 0 citations

#edge computing Open access Oct 2026

An Efficient Resource Allocation Algorithm with Load Balancing Mechanism to Enhance QoS Parameters in Fog Environment

With the proliferation of Internet of Things (IoT) applications, a massive amount of data has been produced, requiring an efficient platform to store and process this data. Cloud computing has the ability to tackle such enormous data, but cannot provide real-time response to latency sensitive IoT applications. Fog comp...

M. Aknan, Maheshwari Prasad Singh, Rajeev Arya · International Journal of Int... · 0 citations