ExplainableDetector: Exploring transformer-based language modeling approach for SMS spam detection with explainability analysis

Short Message Service (SMS) is a widely used and cost-effective communication medium that has unfortunately become a frequent target for unsolicited messages - commonly known as SMS spam. With the rapid adoption of smartphones and increased Internet connectivity, SMS spam has emerged as a prevalent...

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Autori principali:	Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	KeAi Communications Co., Ltd. 2025-10-01
Serie:	Digital Communications and Networks
Soggetti:	Cybersecurity Machine learning Large language model Spam detection Text analytics Explainable AI
Accesso online:	http://www.sciencedirect.com/science/article/pii/S235286482500118X
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