Multi-Type Feature Extraction and Early Fusion Framework for SMS Spam Detection

Multi-Type Feature Extraction and Early Fusion Framework for SMS Spam Detection

SMS spam is a pervasive issue that affects millions worldwide, leading to significant inconvenience, time wastage, and potential financial scams. Given the prevalence and potential harm, accurate and real-time detection of SMS spam is crucial. This paper proposes a novel approach to SMS spam detecti...

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Bibliographic Details
Main Authors: Hussein Alaa Al-Kabbi, Mohammad-Reza Feizi-Derakhshi, Saeid Pashazadeh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
CNN
data fusion
deep learning
LSTM
SMS spam detection
Online Access:https://ieeexplore.ieee.org/document/10296923/

Internet

https://ieeexplore.ieee.org/document/10296923/

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