What question did this study set out to answer?

The aim is to develop a multi-modal framework for detecting phishing attacks using various data sources.

April 12, 2026Open Access

Adaptive Multi-Modal Phishing Detection Using Transformer Natural Language Processing, Visual Analysis, and Threat Intelligence

Key Points

The aim is to develop a multi-modal framework for detecting phishing attacks using various data sources.
Utilized transformer-based natural language processing techniques for text analysis.
Incorporated visual analysis to identify deceptive elements in phishing attempts.
Employed threat intelligence to enhance detection efficacy and adaptability.
Achieved improved detection rates compared to traditional methods.
Demonstrated effectiveness across diverse phishing scenarios.
Showed potential for real-time application in cybersecurity measures.

Abstract

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Cite This Study

Sandeep et al. (Thu,) studied this question.

synapsesocial.com/papers/69db38274fe01fead37c6602 https://doi.org/https://doi.org/10.56975/ijrar.v13i1.330555

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