Intelligent Security Schema for SMS Spam Message Based on Machine Learning Algorithms

Authors

  • Ali Alshahrani Arab Open University, Kingdom Saudi Arabia

DOI:

https://doi.org/10.3991/ijim.v15i16.24197

Keywords:

security, protection, Internet, SMS spam, intrusion detection, attacks.

Abstract


SMS spam messages represent one of the most serious threats to current traditional networks. These messages have been particularly prevalent overseas and are harmful to various types of devices. The current filtering scheme employed in conventional systems is unable to expose a large number of messages. To resolve this issue, a new intelligent security system is proposed to reduce the number of spam messages. It can detect novel spam messages that have a direct and negative impact on networks. The proposed system is heavily based on machine learning to explore various types of messages. The primary achievement of our study is the increase in the accuracy ratio as well as the reduction in the number of false alarms. According to the experimental results, it is clear that our system can realize outstanding results, detecting a massive number of massages.

Author Biography

Ali Alshahrani, Arab Open University, Kingdom Saudi Arabia

Arab Open University, Kingdom Saudi Arabia

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Published

2021-08-23

How to Cite

Alshahrani, A. (2021). Intelligent Security Schema for SMS Spam Message Based on Machine Learning Algorithms. International Journal of Interactive Mobile Technologies (iJIM), 15(16), pp. 52–62. https://doi.org/10.3991/ijim.v15i16.24197

Issue

Section

Papers