Phishing Email
Phishing emails, fraudulent messages designed to steal sensitive information, remain a significant cybersecurity threat. Current research focuses on developing highly accurate detection systems using machine learning, particularly employing algorithms like Random Forest, Support Vector Machines, and increasingly, large language models (LLMs) such as BERT and its variants. These models, often enhanced with explainable AI (XAI) techniques to improve transparency and user trust, aim to improve detection rates and reduce false positives/negatives. The development of robust and generalizable phishing detection systems is crucial for protecting individuals and organizations from substantial financial and reputational damage.
Papers
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