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September 10, 2025Journal of Advanced Research in Applied Sciences and Engineering TechnologyOpen Access

Benchmarking Classical and Deep Learning Models for Ransomware Detection Using Static PE Features

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Authors

SWShuaib Ahmed Wadho YAYichiet Aun MGMing-Lee Gan

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Overview

Analysis compares performance of machine learning and deep learning models on ransomware detection, indicating classical methods excel with static features.

Key Points

Tree ensemble methods such as Random Forest and XGBoost achieved near-perfect detection of ransomware.
Performance metrics including accuracy, precision, and F1 score demonstrated classical models outperform deep learning approaches.
Comprehensive data preprocessing and stratified cross-validation were key methodologies employed in this analysis.
Results suggest that while deep learning methods have higher computational costs, they provide no significant performance advantage over classical models.

Cite This Study

Wadho et al. (2025) studied this question.

synapsesocial.com/papers/68c1d60654b1d3bfb60f95b2 https://doi.org/10.37934/araset.55.1.226235

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September 10, 2025Journal of Advanced Research in Applied Sciences and Engineering TechnologyOpen Access

Benchmarking Classical and Deep Learning Models for Ransomware Detection Using Static PE Features

View Full Paper

Ask AI

Bookmark

Authors

SWShuaib Ahmed Wadho YAYichiet Aun MGMing-Lee Gan

Discussion

Member takes

Overview

Analysis compares performance of machine learning and deep learning models on ransomware detection, indicating classical methods excel with static features.

Key Points

Tree ensemble methods such as Random Forest and XGBoost achieved near-perfect detection of ransomware.
Performance metrics including accuracy, precision, and F1 score demonstrated classical models outperform deep learning approaches.
Comprehensive data preprocessing and stratified cross-validation were key methodologies employed in this analysis.
Results suggest that while deep learning methods have higher computational costs, they provide no significant performance advantage over classical models.

Cite This Study

Wadho et al. (2025) studied this question.

synapsesocial.com/papers/68c1d60654b1d3bfb60f95b2 https://doi.org/10.37934/araset.55.1.226235

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