Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms
Joint Authors
Nazir, Shah
Khan, Habib Ullah
Haq, Amin Ul
GuangJun, Luo
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
The spam detection is a big issue in mobile message communication due to which mobile message communication is insecure.
In order to tackle this problem, an accurate and precise method is needed to detect the spam in mobile message communication.
We proposed the applications of the machine learning-based spam detection method for accurate detection.
In this technique, machine learning classifiers such as Logistic regression (LR), K-nearest neighbor (K-NN), and decision tree (DT) are used for classification of ham and spam messages in mobile device communication.
The SMS spam collection data set is used for testing the method.
The dataset is split into two categories for training and testing the research.
The results of the experiments demonstrated that the classification performance of LR is high as compared with K-NN and DT, and the LR achieved a high accuracy of 99%.
Additionally, the proposed method performance is good as compared with the existing state-of-the-art methods.
American Psychological Association (APA)
GuangJun, Luo& Nazir, Shah& Khan, Habib Ullah& Haq, Amin Ul. 2020. Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1208831
Modern Language Association (MLA)
GuangJun, Luo…[et al.]. Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms. Security and Communication Networks No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1208831
American Medical Association (AMA)
GuangJun, Luo& Nazir, Shah& Khan, Habib Ullah& Haq, Amin Ul. Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1208831
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208831