About the Journal

The Semarak International Journal of Machine Learning  (SIJML) is a is a gold open-access, peer reviewed academic journal with the aim to provide an international platform for academic research by publishing original high-quality research and review articles. The journal scope includes but are not limited to data mining, artificial intelligence, natural language processing (NLP), neural networks, software engineering, bioinformatics and their applications in the areas of science and engineering.

EVENTS UPDATE

Semarak International Research Article Competition 2024 III (SIRAC 2024 III)

Welcome to our esteemed research article competition! We’re thrilled to invite scholars, researchers, and practitioners worldwide to showcase their groundbreaking [...]  READ MORE >>

Current Issue

Vol. 2 No. 1: June (2024)
View Vol. 2 No. 1: June (2024)

VOLUME CONTENT

SQL Injection Attack Detection using Machine Learning Algorithms
Laila Aburashed, Marah AL Amoush, Wardeh Alrefai

Published: 2024-06-30

Articles

  • SQL Injection Attack Detection using Machine Learning Algorithms

    Laila Aburashed, Marah AL Amoush, Wardeh Alrefai
    1-12
    DOI: https://doi.org/10.37934/sijml.2.1.112
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Publishing Frequency
Quarterly
Publishing Model
Open access
Article Processing Charge (APC)
All articles published in this journal are open access and freely available online, free to download, share and re-use. 

The APC charged for accepted articles;
No APC