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  • 1. Al-Dhaqm, Arafat
    et al.
    Abd Razak, Shukor
    Dampier, David A.
    Choo, Kim-Kwang Raymond
    Siddique, Kamran
    Ikuesan, Richard Adeyemi
    d.
    Alqarni, Abdulhadi
    Kebande, Victor R.
    Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).
    Categorization and Organization of Database Forensic Investigation Processes2020Ingår i: IEEE Access, E-ISSN 2169-3536, Vol. 8, s. 112846-112858Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Database forensic investigation (DBFI) is an important area of research within digital forensics. It & x2019;s importance is growing as digital data becomes more extensive and commonplace. The challenges associated with DBFI are numerous, and one of the challenges is the lack of a harmonized DBFI process for investigators to follow. In this paper, therefore, we conduct a survey of existing literature with the hope of understanding the body of work already accomplished. Furthermore, we build on the existing literature to present a harmonized DBFI process using design science research methodology. This harmonized DBFI process has been developed based on three key categories (i.e. planning, preparation and pre-response, acquisition and preservation, and analysis and reconstruction). Furthermore, the DBFI has been designed to avoid confusion or ambiguity, as well as providing practitioners with a systematic method of performing DBFI with a higher degree of certainty.

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  • 2. Al-Dhaqm, Arafat
    et al.
    Razak, Shukor Abd
    Ikuesan, Richard Adeyemi
    Kebande, Victor R.
    Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).
    Siddique, Kamran
    A Review of Mobile Forensic Investigation Process Models2020Ingår i: IEEE Access, E-ISSN 2169-3536, Vol. 8, s. 173359-173375Artikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    Mobile Forensics (MF) field uses prescribed scientific approaches with a focus on recovering Potential Digital Evidence (PDE) from mobile devices leveraging forensic techniques. Consequently, increased proliferation, mobile-based services, and the need for new requirements have led to the development of the MF field, which has in the recent past become an area of importance. In this article, the authors take a step to conduct a review on Mobile Forensics Investigation Process Models (MFIPMs) as a step towards uncovering the MF transitions as well as identifying open and future challenges. Based on the study conducted in this article, a review of the literature revealed that there are a few MFIPMs that are designed for solving certain mobile scenarios, with a variety of concepts, investigation processes, activities, and tasks. A total of 100 MFIPMs were reviewed, to present an inclusive and up-to-date background of MFIPMs. Also, this study proposes a Harmonized Mobile Forensic Investigation Process Model (HMFIPM) for the MF field to unify and structure whole redundant investigation processes of the MF field. The paper also goes the extra mile to discuss the state of the art of mobile forensic tools, open and future challenges from a generic standpoint. The results of this study find direct relevance to forensic practitioners and researchers who could leverage the comprehensiveness of the developed processes for investigation.

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  • 3. Al-Dhaqm, Arafat
    et al.
    Razak, Shukor Abd
    Siddique, Kamran
    Ikuesan, Richard Adeyemi
    Kebande, Victor R.
    Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).
    Towards the Development of an Integrated Incident Response Model for Database Forensic Investigation Field2020Ingår i: IEEE Access, E-ISSN 2169-3536, Vol. 8, s. 145018-145032Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    For every contact that is made in a database, a digital trace will potentially be left and most of the database breaches are mostly aimed at defeating the major security goals (Confidentiality, Integrity, and Authenticity) of data that reside in the database. In order to prove/refute a fact during litigation, it is important to identify suitable investigation techniques that can be used to link a potential incident/suspect to the digital crime. As a result, this paper has proposed suitable steps of constructing and Integrated Incident Response Model (IIRM) that can be relied upon in the database forensic investigation field. While developing the IIRM, design science methodology has been adapted and the outcome of this study has shown significant and promising approaches that could be leveraged by digital forensic experts, legal practitioners and law enforcement agencies. This is owing to the fact, that IIRM construction has followed incident investigation principles that are stipulated in ISO guidelines.

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