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Real time identification of phishing attacks through machine learning enhanced browser extensions | Synapse
March 3, 2026
Open Access
Real time identification of phishing attacks through machine learning enhanced browser extensions
MD
Monika Dandotiya
Poornima University
NG
Nikhil Kumar Goyal
Noida International University
AK
Ajay Khunteta
Poornima University
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Puntos clave
Real-time identification of phishing attacks is achieved effectively using machine learning techniques.
Detection algorithms demonstrate an accuracy rate of over 90% during testing phases.
Application of machine learning enhanced browser extensions to monitor suspicious activity continuously.
Implications highlight the need for proactive measures to combat evolving phishing threats online.
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Dandotiya et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75e45c6e9836116a28b39
https://doi.org/https://doi.org/10.1038/s41598-026-35655-7
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