International Journal of Information Technology and Applied Sciences (IJITAS) https://woasjournals.com/index.php/ijitas <p><strong>International Journal of Information Technology and Applied Sciences (IJITAS) -ISSN 2709-2208 (Online)-</strong> is a peer-reviewed International Journal that currently publishes 4 issues annually. IJITAS is published by the <a href="http://www.woasjournals.com/" target="_blank" rel="noopener">World Organization of Applied Sciences (WOAS)</a>. IJITAS journal publishes technical papers, as well as review articles and surveys, describing recent research and development work that covers all areas of computer science, information systems, and computer / electrical engineering.</p> <p align="justify"><em><strong>Cross Reference</strong></em></p> <p align="justify"><strong>International Journal of Information Technology and Applied Sciences (IJITAS)</strong> is a member of the <strong>CrossRef. </strong>The DOI prefix allotted for IJITAS is <a href="https://doi.org/10.52502/ijitas"><strong>10.52502/ijitas</strong></a></p> en-US contact@woasjournals.com (IJITAS Journal) contact@woasjournals.com (Sebastian Schreiter) Mon, 25 Oct 2021 19:45:58 +0000 OJS 3.2.0.3 http://blogs.law.harvard.edu/tech/rss 60 Malware Detection Using a Machine-Learning Based Approach https://woasjournals.com/index.php/ijitas/article/view/172 <p>The purpose of this research work is to study the usage of machine learning in detecting malware. This paper presents a versatile framework, in which a dataset of more than 130000 files has been analyzed, to train and test four machine learning algorithms: Support Vector Machine, Decision Tree, Random Forest, and Gradient Boosting; The performance of each algorithm in malware classification, has been studied based on the: Accuracy, execution time, rate of false positives and false negatives, and area under the Receiver Operating Characteristic curve.</p> Safa Rkhouya, Khalid Chougdali Copyright (c) 2021 International Journal of Information Technology and Applied Sciences (IJITAS) https://creativecommons.org/licenses/by-nc-nd/4.0 https://woasjournals.com/index.php/ijitas/article/view/172 Mon, 25 Oct 2021 00:00:00 +0000