Abstract—Virtual Machine is a virtualization technology which is most widely used today to simplify work and save hardware resources. In addition to standard use, this virtual machine is also widely used as a tool for conducting research on malware, network installations and more. The increasing use of virtualization technology is a new challenge for digital forensics experts to conduct further research related to the restoration of evidence of deleted virtual machine image. Because this Virtual Machine (VM) is also widely used by cybercrime actors to commit crimes in cyberspace, and then delete digital traces by destroying the virtual machine image that has been used or returning it to a snapshot, this technique is known as antiforensic. Many previous studies have discussed about this VM forensics, such as VM memory dumps and snapshots. But no one has discussed the process model or flow used to perform the analysis to digital evidence in the form of a virtual machine. This study tires to identify the Virtual Machine Forensic Analysis & Recovery (VMFAR) which the researchers design as a framework for analyzing digital evidence. After implementing this framework in the process of handling digital evidence, the results of the analysis show that the experimental process was successfully carried outIndex Keywords— Virtual; Machine; Forensics; Recovery; Framework.


    Access

    Download


    Export, share and cite



    Title :

    Design Framework for Digital Evidence Analysis Using the Virtual Machine Forensic Analysis & Recovery (VMFAR) Method


    Contributors:
    Juhartini (author) / Erfan Wahyudi (author) / Bahtiar Imran (author) / Zaenudin (author)

    Publication date :

    2020-11-06


    Remarks:

    oai:zenodo.org:4249386



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    A Comparative UAV Forensic Analysis: Static and Live Digital Evidence Traceability Challenges

    Fahad E. Salamh / Umit Karabiyik / Marcus K. Rogers et al. | DOAJ | 2021

    Free access


    Forensic Pavement Analysis

    M. De Nicholas | NTIS | 1990


    Forensic video image analysis

    Edwards, Thomas R. | SPIE | 1997


    Digital models & forensic studies

    Condon, P.T. | Tema Archive | 1999