A novel, hybrid detection framework that constructs a structured “portrait” of each URL by extracting 12 discriminative features-spanning structural, semantic, technical, and morphological dimensions, addressing critical gaps in existing black-box AI systems and aligns with the stringent transparency requirements of security-critical domains such as banking, e-government, and enterprise cybersecurity.
A hybrid phishing URL detection system that integrates Fuzzy C-Means clustering with XGBoost classification, enhanced by a novel Micro Adaptive Feature Extractor (MAFE) is proposed.
Muntadher Kareem, R. I. Farhan· Karbala International Journa...· 0 citations
A hybrid phishing detection framework that integrates three complementary techniques: DistilBERT for semantic analysis of URL text, Graph Neural Networks for modelling structural relationships among URL components, and LightGBM for efficient metadata-based feature classification is proposed.
I. Shalini, G. Sujini· International Journal for Re...· 0 citations
Investigating whether HTML structure can serve as a robust fingerprint for identifying phishing template reuse demonstrates that structural representations of webpages can effectively reveal hidden similarities across phishing sites, enabling the detection of emerging and zero-day templates and supporting the analysis...
Unai Agirre, Imanol Jerico, Felipe Castaño et al.· 0 citations
External validation against ten official Iraqi university websites resulted in correct classification with no false positives, demonstrating that the proposed phishing detection model is reliable.
T. Omar· Engineering, Technology &...· 0 citations
This study proposes and evaluates a lightweight, fully interpretable two-level rule-based framework that fuses lexical URL features with domain registration evidence retrieved through the Registration Data Access Protocol (RDAP), confirming that lexical and registration evidence fail independently.
Wan Afifie Aliff Bin Wan Abdullah, Zulkiflee Muslim, Haniza Nahar et al.· International journal of res...· 0 citations
An integrated comparative evaluation that combines six-algorithm benchmarking, leakage-free hyperparameter optimization, and SHAP-based interpretation on a public phishing dataset, offering practical guidance for security analysts is offered.
Juni Ismail, Raja Anan Nasution, Muhammad Nasri Gea· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
