Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
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
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.
Data recovery, Recuva, AVI files, NTFS, fragmentation, metadata reconstruction, overwritten data, file carving
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
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