Paper Title
Ransomware Detection Using Random Forest Technique
Article Identifiers
Authors
Miss.Pradnya Haribhau Kapse , Mr.Abhijit Pawar , Miss.Pooja Lalaso Dhaigude , Miss.Rupali Hanumant Deokate , Miss.Rutuja Manoj Jagtap
Keywords
Ransomware detection; Machine learning; Random forest; Cyber security
Abstract
Nowadays, the ransomware became a serious threat challenge the computing world that requires an immediate consideration to avoid financial and moral blackmail. A new technique that can recognise and thwart this kind of attack is therefore desperately needed. The vast majority of earlier detection techniques used a laborious dynamic analysis strategy. The current work suggests a novel static analysis-based strategy to identify ransomware. The key aspect of the suggested approach is the elimination of the disassembly step in favour of direct feature extraction from the raw byte using frequent pattern mining, which noticeably speeds up detection. The Gain Ratio feature selection method demonstrated that the best number of features for the detection process was 1000.The results showed that tree numbers of 100 with seed number of 1 achieved best results in terms of time-consuming and accuracy. The experimental evaluation revealed that the proposed method could achieve a high accuracy of 97.74% for detection ransomware
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How To Cite (APA)
Miss.Pradnya Haribhau Kapse, Mr.Abhijit Pawar, Miss.Pooja Lalaso Dhaigude, Miss.Rupali Hanumant Deokate, & Miss.Rutuja Manoj Jagtap (January-2023). Ransomware Detection Using Random Forest Technique. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), d477-d486. https://ijnrd.org/papers/IJNRD2301354.pdf
Issue
Volume 8 Issue 1, January-2023
Pages : d477-d486
Other Publication Details
Paper Reg. ID: IJNRD_186666
Published Paper Id: IJNRD2301354
Downloads: 000121978
Research Area: Engineering
Country: pune, MAHARASHTRA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2301354.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301354
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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