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A perfect knife—Bulk decompilation and preprocessing tool

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dc.title A perfect knife—Bulk decompilation and preprocessing tool en
dc.contributor.author Dorotík, Ladislav
dc.contributor.author Kincl, Jan
dc.contributor.author Oulehla, Milan
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof Lecture Notes in Electrical Engineering
dc.identifier.issn 1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-981998702-3
dc.date.issued 2024
utb.relation.volume 1081
dc.citation.spage 153
dc.citation.epage 164
dc.event.title International Conference on Advanced Engineering Theory and Applications, AETA 2022
dc.event.location Ho Chi Minh City
utb.event.state-en Vietnam
utb.event.state-cs Vietnam
dc.event.sdate 2022-12-08
dc.event.edate 2022-12-10
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-981-99-8703-0_13
dc.relation.uri https://link.springer.com/chapter/10.1007/978-981-99-8703-0_13
dc.subject Android malware en
dc.subject APK en
dc.subject bulk decompilation en
dc.subject dataset preprocessing en
dc.description.abstract Due to its vast popularity, the Android operating system has quickly become the main target of mobile malware creators. Consequently, there is a huge need for intensive efforts in the research of Android malware applications to identify malware features and thus be able to create an efficient method for malware detection. One of the main issues related to malware research is obtaining reliable datasets. Malware datasets could be obtained from various sources. Not only that they can tally up to thousands of individual applications, but also can contain damaged, corrupted, or otherwise invalid files. A large number of applications in a dataset is nearly impossible to be processed manually, invalid files can also jeopardize the process of analysis. For the results to be reproducible there needs to be a way how to specify which dataset was used and that it contained only valid files. This work introduces a tool, Perfect Knife, created by our research team for automatised decompilation, dataset validation, unification, and preparation for further research purposes. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011948
utb.identifier.scopus 2-s2.0-85187794403
utb.source d-scopus
dc.date.accessioned 2024-04-17T13:13:00Z
dc.date.available 2024-04-17T13:13:00Z
utb.contributor.internalauthor Dorotík, Ladislav
utb.contributor.internalauthor Kincl, Jan
utb.contributor.internalauthor Oulehla, Milan
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University in Zlin, grant No.: IGA/CebiaTech/2022/007.
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam. T. G. Masaryka 5555, Zlin, 76001, Czech Republic
utb.fulltext.projects IGA/CebiaTech/2022/007
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