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e-ISSN: 2455-3743 | Published by Global Advanced Research Publication House (GARPH)






Archives of International Journal of Research in Computer & Information Technology(IJRCIT)


Volume 8 Issue 4 September 2023



1. Machine Learning Framework for Malware Detection

AUTHOR NAME : Anushree Anand Pande

ABSTRACT : Detecting malware presence in files is crucial due to its increasing volume, leading to significant issues for companies, such as data loss and operational challenges. Malware can notably hinder system performance by slowing operations and encrypting files in personal computers. This report presents a comprehensive exploration of a versatile framework employing machine learning algorithms tailored specifically for malware detection. These algorithms effectively differentiate between clean and infected files. The primary aim is to minimize false positives in the data. The paper proposes the use of three Machine Learning (ML) models - Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) - utilizing a publicly available malware dataset for training and testing these models. The final outcomes indicate that RF classifiers achieve an accuracy score of 99.12%, surpassing the performance of the other two classifiers.

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