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