An Improved Machine Learning-Based Short Message Service Spam Detection System
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Date
2019-11-12
Journal Title
Journal ISSN
Volume Title
Publisher
MECS
Abstract
The use of Short Message Services (SMS) as a
mechanism of communication has resulted to loss of
sensitive information such as credit card details, medical
information and bank account details (user name and
password). Several Machine learning-based approaches
have been proposed to address this problem, but they are
still unable to detect modified SMS spam messages more
accurately. Thus, in this research, a stack- ensemble of
four machine learning algorithms consisting of Random
Forest (RF), Logistic Regression (LR), Multilayer
Perceptron (MLP), and Support Vector Machine (SVM),
were employed to detect more accurately SMS spams.
The simulation was carried out using Python Scikit- learn
tools.