An explainable transformer-based model for phishing email detection: A large language model approach
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Abstract
Phishing email is a serious cyber threat that tries to deceive users by sending false emails with the intention of stealing confidential information or causing financial harm. Attackers, often posing as trustworthy entities, exploit technological advancements and sophistication to make the detection and prevention of phishing more challenging. Despite extensive academic research, phishing detection remains an ongoing and formidable challenge in the cybersecurity landscape. In this research paper, we present a fine-tuned transformer-based masked language model, RoBERTa (Robustly Optimized BERT Pretraining Approach), for phishing email detection. In the detection process, we employ a phishing email dataset and…
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Authors
3Topics & keywords
Topics
Keywords
- Phishing
- Language model
- Data modeling
- Key (lock)
- Model checking
- Models of communication
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