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.
Single and hybrid-ensemble learning-based phishing website detection: Examining impacts of varied nature datasets and informative feature selection technique
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.