DATA PROTECTION AGAINST MALWARE USING MACHINE LEARNING TECHNIQUES

Shoraimov Husanboy Uktamboyevich; Tashpulatova Nadira Botirovna; Akbarova Marguba Xamidovna

doi:10.17605/OSF.IO/5FEU2

Authors

Shoraimov Husanboy Uktamboyevich Teacher of the Department, “Systematic and Practical Programming”, Tashkent University of InformationTechnologies named after Muhammad Al-Khwarizmi, UZBEKISTAN
Tashpulatova Nadira Botirovna Dotsent of the Department, “Systematic and Practical Programming”, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, UZBEKISTAN
Akbarova Marguba Xamidovna Dotsent of the Department, “Systematic and Practical Programming”, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, UZBEKISTAN

DOI:

https://doi.org/10.17605/OSF.IO/5FEU2

Keywords:

– cybersecurity, malware protection, training, data discovery.

Abstract

Cyber attacks on confidential data have become a serious threat around the world due to the growing use of computers and information technology. Cyber criminals daily release new malware or viruses over the Internet in an attempt to destroy or steal sensitive data. Consequently, data protection research is of great interest in the Cyber community, to deal with new malware variants, machine learning techniques can be used to accurately classify and detect. This article proposes an efficient scheme for detecting malicious threats using data mining and machine learning methods. Experimental results show that the proposed approach gives better performance compared to other similar methods.

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