Enhanced Recovery of AVI Files Using Recuva

ShivaranjiniComputer Science & Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle, IndiaMahesh Babu KComputer Science & Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle, IndiaMaheswar Reddy KComputer Science & Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 308-314

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE50

Abstract

This research focuses on advancing the data recovery process for fragmented AVI files on NTFS file systems using enhancements to Recuva, a popular recovery tool. Audio Video Interleave (AVI) files often suffer from fragmentation due to their large file size and frequent editing, making recovery challenging. The study emphasizes improvements in three core areas: identifying fragmented file segments, reconstructing incomplete or corrupted metadata, and recovering data in scenarios where portions of the file have been overwritten. By integrating these improvements, new algorithms were developed to analyze file patterns, reconstruct lost metadata, and recover partially overwritten fragments. Rigorous testing demonstrated a significant boost in recovery success rates under diverse fragmentation and overwriting scenarios. These advancements are expected to enhance data recovery solutions for both individual users and organizations handling critical multimedia files.

Keywords

Data recovery, Recuva, AVI files, NTFS, fragmentation, metadata reconstruction, overwritten data, file carving


Citation of this Article

Shivaranjini, Mahesh Babu K, & Maheswar Reddy K. (2025). Enhanced Recovery of AVI Files Using Recuva. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 308-314. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE50

References
  1. A.Putra, M. D. L. Siahaan, and A. Arpan, “Comparative analysis of data recovery using easeus data recovery wizard and recuva applications,” INFOKUM, vol. 10, no. 03, pp. 161–165, 2022.
  2. N. A. Abd Rahman, N. N. A. N. Suki et al., “A customized data recovery tool,” in Journal of Physics: Conference Series, vol. 1712, no. 1. IOP Publishing, 2020, p. 012019.
  3. S. N. Varayogula, K. Dodiya, P. Lakhalani, and A. Chawla, “Computer forensics data recovery software: A comparative study,” International Journal of Innovative Research in Computer Science & Technology, vol. 10, no. 2, pp. 513–518, 2022.
  4. B. K. Shibwabo and I. A. Lukandu, “Data recovery of flash memory,” Nanocrystals in Nonvolatile Memory, p. 347, 2024.
  5. A.Hidayat, D. Sudarmaji, D. Irawan, L. J. Susanto, and H. P. Mustika, “Comparative analysis of applications osforensics, getdataback, genius, and diskdigger on digital data recovery in the computer device,” International Journal of Technology & Engineering, vol. 7, no. 4.7, pp. 445–448, 2018.
  6. J. Buchanan-Wollaston, T. Storer, and W. Glisson“Comparison of the data recovery function of forensic tools,” in Advances in Digital Forensics IX: 9th IFIP WG 11.9 International Conference on Digital Forensics, Orlando, FL, USA, January 28-30, 2013, Revised Selected Papers 9. Springer, 2013, pp. 331–347.
  7. R. Hidayat, M. I. Marzuki, Y. Saragih, I. Ibrahim, E. U. Armin, S. Andromeda, I. B. Santoso, and S. Suroyo, “The comparative study analysis logical files recovery and low level files recovery using digital forensic methods,” TEKNOKOM, vol. 5, no. 2, pp. 149–154, 2022.
  8. A.Miljkovi´c, V. Stojanovi´c, V. Jovanovi´c, and A. Maksimovi´c, “Possibilities for comparison of data recovery software for mobile devices,” DANI ARCˇIBALDA RAJSA ““ARCHIBALD REISS DAYS, p. 111.
  9. S. Al Sharif, M. Al Ali, N. Salem, F. Iqbal, M. El Barachi, and O. Alfandi, “An approach for the valida- tion of file recovery functions in digital forensics’ software tools,” in 2014 6th International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2014, pp. 1–6.
  10. D. Anjani, D. Novianti, and R. Ningsih, “Training to rescue and repair data on flashdisk storage for elementary school teachers of pal merah 19, west jakarta,” Mattawang: Jurnal Pengabdian Masyarakat, vol. 1, no. 2, pp. 99– 103, 2020.
  11. V. Singh, L. Kesharwani, V. Saran, A. Gupta, E. Lal, and A. Verma, “Efficacy of open source tools for recovery of unconventionally deleted data for forensic consideration,” Int. J. Sos. Relev. Concern (IJSRC), vol. 3, no. 9, pp. 53–9, 2015.
  12. W. Blakely Santiago, “An overview to digital forensics tools,” Computer Engineering;, 2010.