MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866915589862195200 |
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| author | Paim, Kayua Oleques Nogueira, Angelo Gaspar Diniz Kreutz, Diego Cordeiro, Weverton Mansilha, Rodrigo Brandao |
| author_facet | Paim, Kayua Oleques Nogueira, Angelo Gaspar Diniz Kreutz, Diego Cordeiro, Weverton Mansilha, Rodrigo Brandao |
| contents | High-quality data scarcity hinders malware detection, limiting ML performance. We introduce MalDataGen, an open-source modular framework for generating high-fidelity synthetic tabular data using modular deep learning models (e.g., WGAN-GP, VQ-VAE). Evaluated via dual validation (TR-TS/TS-TR), seven classifiers, and utility metrics, MalDataGen outperforms benchmarks like SDV while preserving data utility. Its flexible design enables seamless integration into detection pipelines, offering a practical solution for cybersecurity applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_00361 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection Paim, Kayua Oleques Nogueira, Angelo Gaspar Diniz Kreutz, Diego Cordeiro, Weverton Mansilha, Rodrigo Brandao Cryptography and Security Artificial Intelligence Machine Learning I.2 High-quality data scarcity hinders malware detection, limiting ML performance. We introduce MalDataGen, an open-source modular framework for generating high-fidelity synthetic tabular data using modular deep learning models (e.g., WGAN-GP, VQ-VAE). Evaluated via dual validation (TR-TS/TS-TR), seven classifiers, and utility metrics, MalDataGen outperforms benchmarks like SDV while preserving data utility. Its flexible design enables seamless integration into detection pipelines, offering a practical solution for cybersecurity applications. |
| title | MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection |
| topic | Cryptography and Security Artificial Intelligence Machine Learning I.2 |
| url | https://arxiv.org/abs/2511.00361 |