A Spam Transformer Model for SMS Spam Detection
In this paper, we aim to explore the possibility of the Transformer model in detecting the spam Short Message Service (SMS) messages by proposing a modified Transformer model that is designed for detecting SMS spam messages. The evaluation of our proposed spam Transformer is performed on SMS Spam Co...
Main Authors: | Xiaoxu Liu, Haoye Lu, Amiya Nayak |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9433507/ |
Similar Items
-
A Hybrid CNN-LSTM Model for SMS Spam Detection in Arabic and English Messages
by: Abdallah Ghourabi, et al.
Published: (2020-09-01) -
Intelligent Security Schema for SMS Spam Message Based on Machine Learning Algorithms
by: Ali Alshahrani
Published: (2021-08-01) -
A new approach to filtering spam SMS: Motif Patterns
by: Yılmaz Kaya, et al.
Published: (2018-06-01) -
A Review on Mobile SMS Spam Filtering Techniques
by: Shafi'I Muhammad Abdulhamid, et al.
Published: (2017-01-01) -
A Discrete Hidden Markov Model for SMS Spam Detection
by: Tian Xia, et al.
Published: (2020-07-01)