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Volume 10, Issue 5 (May 2024)

A Machine Learning Model For Detecting Ransomware Attacks

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Volume 12 Issue 07

July 2026

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Author(s)

Rituja Pawar Vaishnavi Nalawade Swati Meher Pooja Shipalkar

Abstract

In Today's Cybersecurity Landscape, Ransomware Poses A Significant And Evolving Threat, Necessitating Robust Detection Mechanisms. This Study Explores The Efficacy Of The Random Forest Algorithm In Identifying Ransomware Attacks By Analyzing Dynamic And D


Keywords

Ransomware Cybersecurity Threat Attack Vectors Machine Learning Algorithms Random Forest.

Paper ID

IJSARTV10I592112

Publication Date

May 25, 2024

Research Area

Computer Engineering

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