000151386 001__ 151386 000151386 005__ 20251017144629.0 000151386 0247_ $$2doi$$a10.1016/j.softx.2025.102082 000151386 0248_ $$2sideral$$a143088 000151386 037__ $$aART-2025-143088 000151386 041__ $$aeng 000151386 100__ $$aRaducu, Razvan 000151386 245__ $$aMALVADA: A framework for generating datasets of malware execution traces 000151386 260__ $$c2025 000151386 5060_ $$aAccess copy available to the general public$$fUnrestricted 000151386 5203_ $$aMalware 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. 000151386 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T21-23R$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00 000151386 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es 000151386 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000151386 700__ $$aVillagrasa-Labrador, Alain 000151386 700__ $$0(orcid)0000-0001-7982-0359$$aRodríguez, Ricardo J.$$uUniversidad de Zaragoza 000151386 700__ $$aÁlvarez, Pedro 000151386 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000151386 773__ $$g30 (2025), 102082 [6 pp.]$$tSoftwareX$$x2352-7110 000151386 8564_ $$s715165$$uhttps://zaguan.unizar.es/record/151386/files/texto_completo.pdf$$yVersión publicada 000151386 8564_ $$s2258855$$uhttps://zaguan.unizar.es/record/151386/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000151386 909CO $$ooai:zaguan.unizar.es:151386$$particulos$$pdriver 000151386 951__ $$a2025-10-17-14:25:47 000151386 980__ $$aARTICLE