PHISHREV integrates ML classifiers with ASP-based non-monotonic reasoning to revise 5.08% of phishing predictions for improved consistency and allows O(n) incorporation of new knowledge without retraining.
Machine learning techniques for detecting phishing url attacks,
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PHISHREV: A Hybrid Machine Learning and Post-Hoc Non-monotonic Reasoning Framework for Context-Aware Phishing Website Classification
PHISHREV integrates ML classifiers with ASP-based non-monotonic reasoning to revise 5.08% of phishing predictions for improved consistency and allows O(n) incorporation of new knowledge without retraining.