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

Dublin Core

Title

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

Subject

security
protection
Internet
SMS spam
intrusion detection
attacks.

Description

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.

Creator

Alshahrani, Ali

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 52-62
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2021-08-23

Rights

Copyright (c) 2021 Ali Alshahrani

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Ali Alshahrani, Intelligent Security Schema for SMS Spam Message Based on Machine Learning Algorithms, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 22, 2024, https://igi.indrastra.com/items/show/2081

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