SMS spam detection using BERT and multi-graph convolutional networks
The surge in smartphone usage has significantly increased Short Message Service (SMS) traffic and, consequently, SMS spam, posing risks such as phishing, financial losses, and privacy breaches. Traditional rule-based and blacklist methods fail against evolving spamming techniques, prompting the adop...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-01-01
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Series: | International Journal of Intelligent Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666603025000089 |
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