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    Open repository for the evaluation of ransomware detection tools

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    2020060168_BerruetaOpenRepository.pdf (1.327Mb)
    Date
    2020
    Author
    Berrueta Irigoyen, Eduardo Upna
    Morató Osés, Daniel Upna
    Magaña Lizarrondo, Eduardo Upna
    Izal Azcárate, Mikel Upna
    Version
    Acceso abierto / Sarbide irekia
    xmlui.dri2xhtml.METS-1.0.item-type
    Artículo / Artikulua
    Version
    Versión publicada / Argitaratu den bertsioa
    Project Identifier
    ES/1PE/TEC2015-69417 
    Impact
     
     
     
    10.1109/ACCESS.2020.2984187
     
     
     
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    Abstract
    Crypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for ransom to recover the hijacked documents. Several articles have presented detection techniques for this type of malware; these techniques are applied before the ransomware encrypts files or during its action in an infected host. The evaluation of these proposals has always been accomplished us ... [++]
    Crypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for ransom to recover the hijacked documents. Several articles have presented detection techniques for this type of malware; these techniques are applied before the ransomware encrypts files or during its action in an infected host. The evaluation of these proposals has always been accomplished using sets of ransomware samples that are prepared locally for the research article, without making the data available. Different studies use different sets of samples and different evaluation metrics, resulting in insufficient comparability. In this paper, we describe a public data repository containing the file access operations of more than 70 ransomware samples during the encryption of a large network shared directory. These data have already been used successfully in the evaluation of a network-based ransomware detection algorithm. Now, we are making these data available to the community and describing their details, how they were captured, and how they can be used in the evaluation and comparison of the results of most ransomware detection techniques. [--]
    Subject
    Ransomware, Open repository, Traffic analysis
     
    Publisher
    IEEE
    Published in
    IEEE Access, 2020, 8, 65658-65669
    Departament
    Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación / Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Saila / Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities
     
    Publisher version
    https://doi.org/10.1109/ACCESS.2020.2984187
    URI
    https://hdl.handle.net/2454/37294
    Sponsorship
    This work was supported by the Spanish MINECO under Project TEC2015-69417-C2-2-R and Project PID2019-104451RB-C22.
    Appears in Collections
    • Artículos de revista ISC - ISC aldizkari artikuluak [208]
    • Artículos de revista DIEC - IEKS Aldizkari artikuluak [115]
    • Artículos de revista - Aldizkari artikuluak [2947]
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