Malware Detection using ML

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Anshika Gupta; Saloni Gupta; Yana Chauhan

Malware Detection using ML

Authors: Anshika Gupta, Saloni Gupta, Yana Chauhan

Unique Paper ID: 178828
Volume: 11
Issue: 12
PageNo: 8781-8787

Keywords: No Keywords Found

Abstract:
The increasing sophistication and frequency of malware attacks pose a significant threat to cyber security. This project presents a machine learning-based approach to malware detection that leverages the ability of algorithms to learn patterns from data and generalize to unseen threats. By extracting and analyzing features from both malicious and benign software samples, several classification algorithms—including Random Forest, Support Vector Machine (SVM), and Neural Networks—were trained and evaluated.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 8781-8787

Malware Detection using ML

Available:https://ijirt.org/article?manuscript=178828

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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