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February 2, 2026Computers & Electrical Engineering

Real-time phishing uniform resource locator detection based on hybrid embedding transformer and retraining-free inferencing

Dam Minh Linh Huynh Trong Thua Tran Cong Hung

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Key Points

Real-time URL detection significantly improves identifying phishing attempts, enhancing online safety.
The hybrid embedding transformer shows over 90% accuracy in recognizing malicious URLs.
Analysis combines machine learning techniques with a robust hybrid model for efficient detection.
This study highlights the need for advanced detection methods in addressing rising cybersecurity threats.

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Implication

Observational analysis reveals effective URL detection in phishing incidents, suggesting enhanced cybersecurity measures.

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Cite This Study

Linh et al. (2026) studied this question.

synapsesocial.com/papers/69a7668cbadf0bb9e87dd6a6 https://doi.org/10.1016/j.compeleceng.2026.111001

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