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Research Article | Open Access |

Corrupted MP4 Carving Using MP4-Karver

Author 1: Ahmed Nur Elmi Abdi Author 2: Kamaruddin Malik Mohamad Author 3: Yusoof Mohammed Hasheem Author 4: Rashid Naseem Author 5: Jamaluddin Author 6: Muhammad Aamir
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 3 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070313

Abstract

In the digital forensic, recovery of deleted and damaged video files play an important role in searching for the evidences. In this paper, MP4-Karver tool is proposed to recover and repair the corrupted videos. Moreover, MP4-Karver extracts frames from video for automatically screen-video to detect illegal cases instead of targeting or watching complete video. Therefore, many existing approaches such as Scalpel’s method, Garfienkel, Bi-Fragment Gap Carving, Smart Carving and Frame Based Recovery attempts to recover the videos in different ways, but most of the recovered videos are usually not complete playable. The proposed MP4-Karver focuses on recovery of video files and repair corrupted videos to complete and playable. Experimental results show that the proposed MP4-Karver effectively restores corrupted or damaged video for an improved percentage of the video restoration compared with existing tools.

Keywords

How to Cite this Article

Abdi, A. N. E., Mohamad, K. M., Hasheem, Y. M., Naseem, R., Jamaluddin, & Aamir, M. (2016). Corrupted MP4 Carving Using MP4-Karver. International Journal of Advanced Computer Science and Applications, 7(3). https://doi.org/10.14569/IJACSA.2016.070313

Abdi, Ahmed Nur Elmi, et al.. "Corrupted MP4 Carving Using MP4-Karver." International Journal of Advanced Computer Science and Applications, vol. 7, no. 3, 2016, https://doi.org/10.14569/IJACSA.2016.070313.

@article{Abdi2016,
  title     = {Corrupted MP4 Carving Using MP4-Karver},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {3},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Ahmed Nur Elmi Abdi and Kamaruddin Malik Mohamad and Yusoof Mohammed Hasheem and Rashid Naseem and Jamaluddin and Muhammad Aamir},
  doi       = {10.14569/IJACSA.2016.070313},
  url       = {https://doi.org/10.14569/IJACSA.2016.070313}
}

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