An LLM driven framework for email spam detection using DistilBERT embeddings and neural classifiers

Abstract Email spam detection is still a critical challenge in cybersecurity due to the increasing sophistication of malicious campaigns. Effective filtering is essential to protect users from phishing, fraud, and privacy violations. Traditional machine learning and rule-based approaches often fail...

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Hlavní autoři:	G. Pradeep Reddy, Rishona Dsouza, Ramyashree, S. Raghavendra, P. S. Venugopala
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2025-12-01
Edice:	Discover Applied Sciences
Témata:	Deep learning DistilBERT Enron and SpamAssassin datasets FLAN-T5 Ling spam and Phishing email datasets Machine learning classifiers
On-line přístup:	https://doi.org/10.1007/s42452-025-08147-y
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