ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

arXiv:2402.18093v1 Announce Type: new
Abstract: The proliferation of phishing sites and emails poses significant challenges to existing cybersecurity efforts. Despite advances in spam filters and email security protocols, problems with oversight and false positives persist. Users often struggle to understand why emails are flagged as spam, risking the possibility of missing important communications or mistakenly trusting phishing emails.
This study introduces ChatSpamDetector, a system that uses large language models (LLMs) to detect phishing emails. By converting email data into a …

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