MALVADA: A framework for generating datasets of malware execution traces
Raducu, Razvan ; Villagrasa-Labrador, Alain ; Rodríguez, Ricardo J. (Universidad de Zaragoza) ; Álvarez, Pedro
Resumen: Malware attacks have been growing steadily in recent years, making more sophisticated detection methods necessary. These approaches typically rely on analyzing the behavior of malicious applications, for example by examining execution traces that capture their runtime behavior. However, many existing execution trace datasets are simplified, often resulting in the omission of relevant contextual information, which is essential to capture the full scope of a malware sample’s behavior. This paper introduces MALVADA, a flexible framework designed to generate extensive datasets of execution traces from Windows malware. These traces provide detailed insights into program behaviors and help malware analysts to classify a malware sample. MALVADA facilitates the creation of large datasets with minimal user effort, as demonstrated by the WinMET dataset, which includes execution traces from approximately 10,000 Windows malware samples.
Idioma: Inglés
DOI: 10.1016/j.softx.2025.102082
Año: 2025
Publicado en: SoftwareX 30 (2025), 102082 [6 pp.]
ISSN: 2352-7110
Financiación: info:eu-repo/grantAgreement/ES/DGA/T21-23R
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
Exportado de SIDERAL (2025-03-07-09:33:36)
Visitas y descargas
Idioma: Inglés
DOI: 10.1016/j.softx.2025.102082
Año: 2025
Publicado en: SoftwareX 30 (2025), 102082 [6 pp.]
ISSN: 2352-7110
Financiación: info:eu-repo/grantAgreement/ES/DGA/T21-23R
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. Exportado de SIDERAL (2025-03-07-09:33:36)
Permalink:
Visitas y descargas
Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Lenguajes y Sistemas Informáticos
Record created 2025-03-07, last modified 2025-03-07