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DOI: 10.14569/IJACSA.2022.0130975
PDF

Data Recovery Comparative Analysis using Open-based Forensic Tools Source on Linux

Author 1: Muhammad Fahmi Abdillah
Author 2: Yudi Prayudi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 9, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Data recovery is one of the forensic techniques used to recover data that has been lost or deleted. Data recovery is carried out if there is a condition where the data that has been owned is deleted or damaged. If the data has been lost or deleted or even tampered with, then a forensic expert has several ways to restore data that has been lost or damaged. One of them is to use a complete data recovery method using forensic tools, namely, TSK Recover, FTK Imager, Foremost Recover, and Testdisk Recover. Unfortunately, tools such as FTK imager and TSK recover have a weakness, namely that some damaged or corrupted data files cannot be restored in their entirety; they can only be recovered but not be opened. This study uses a tool comparison method approach using foremost recover and Testdisk recover. It's just that this method cannot be used using the graphic user interface (GUI) but using the CLI (Command Line) in the LINUX operating system. And the files that have been recovered will be fully recovered.

Keywords: Recovery; tools; FTK imager; foremost; Testdisk

Muhammad Fahmi Abdillah and Yudi Prayudi, “Data Recovery Comparative Analysis using Open-based Forensic Tools Source on Linux” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130975

@article{Abdillah2022,
title = {Data Recovery Comparative Analysis using Open-based Forensic Tools Source on Linux},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130975},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130975},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {9},
author = {Muhammad Fahmi Abdillah and Yudi Prayudi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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