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  • 1.
    Alendal, Gunnar
    et al.
    NTNU, Gjøvik, Norway.
    Dyrkolbotn, Geir Olav
    NTNU, Gjøvik, Norway & Norwegian Defence Cyber Academy (NDCA), Jørstadmoen, Norway.
    Axelsson, Stefan
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Forensics acquisition – Analysis and circumvention of samsung secure boot enforced common criteria mode2018In: Digital Investigation. The International Journal of Digital Forensics and Incident Response, ISSN 1742-2876, E-ISSN 1873-202X, Vol. 24, no Suppl., p. S60-S67Article in journal (Refereed)
    Abstract [en]

    The acquisition of data from mobile phones have been a mainstay of criminal digital forensics for a number of years now. However, this forensic acquisition is getting more and more difficult with the increasing security level and complexity of mobile phones (and other embedded devices). In addition, it is often difficult or impossible to get access to design specifications, documentation and source code. As a result, the forensic acquisition methods are also increasing in complexity, requiring an ever deeper understanding of the underlying technology and its security mechanisms. Forensic acquisition techniques are turning to more offensive solutions to bypass security mechanisms, through security vulnerabilities. Common Criteria mode is a security feature that increases the security level of Samsung devices, and thus make forensic acquisition more difficult for law enforcement. With no access to design documents or source code, we have reverse engineered how the Common Criteria mode is actually implemented and protected by Samsung's secure bootloader. We present how this security mode is enforced, security vulnerabilities therein, and how the discovered security vulnerabilities can be used to circumvent Common Criteria mode for further forensic acquisition. © 2018 The Author(s). Published by Elsevier Ltd on behalf of DFRWS.

  • 2.
    Lopez-Rojas, Edgar
    et al.
    NTNU, Gjøvik, Norway.
    Axelsson, Stefan
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
    Baca, Dejan
    3M-Commerce, Ericsson AB, Karlskrona, Sweden.
    Analysis of fraud controls using the PaySim financial simulator2018In: International Journal of Simulation and Process Modelling, ISSN 1740-2123, E-ISSN 1740-2131, Vol. 13, no 4, p. 377-386Article in journal (Refereed)
    Abstract [en]

    Fraud controls for financial transactions are needed and required by law enforcement agencies to flag suspicious criminal activity. These controls, however, require deeper analysis of the effectiveness and the negative impact for the legal customers. Owing to the intrinsically private nature of financial transactions, this analysis is often performed after several months of actively using fraud controls. In this paper, we present an analysis of different fraud prevention controls on a mobile money service based on thresholds using a simulator called PaySim. PaySim uses aggregated data from a sample dataset to generate a synthetic dataset that resembles the normal operation of transactions and injects malicious behaviour. With technology frameworks such as agent-based simulation techniques, and the application of mathematical statistics, we show in this paper that the simulated data can be as prudent as the original dataset for setting optimal controls for fraud detection.

  • 3.
    Nordvik, Rune
    et al.
    Norwegian University of Science and Technology, Trondheim, Norway & Norwegian Police University College, Oslo, Norway.
    Toolan, Fergus
    Norwegian Police University College, Oslo, Norway.
    Axelsson, Stefan
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). Norwegian University of Science and Technology, Trondheim, Norway.
    Using the Object ID index as an investigative approach for NTFS file systems2019In: Digital Investigation. The International Journal of Digital Forensics and Incident Response, ISSN 1742-2876, E-ISSN 1873-202X, Vol. 28, no Supplement, p. S30-S39Article in journal (Refereed)
    Abstract [en]

    When investigating an incident it is important to document user activity, and to document which storage device was connected to which computer. We present a new approach to documenting user activity in computer systems using the NTFS file system by using the $ObjId Index to document user activity, and to correlate this index with the corresponding records in the MFT table. This may be the only possible approach when investigating external NTFS storage devices, and is hence a valuable addition to the storage forensics toolbox. © 2019 Rune Nordvik, Fergus Toolan, Stefan Axelsson

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