International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Enhanced Recovery of AVI Files Using Recuva

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.

Country : India

1 Shivaranjini2 Mahesh Babu K3 Maheswar Reddy K

  1. Computer Science & Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle, India
  2. Computer Science & Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle, India
  3. Computer Science & Engineering (Cyber Security), Madanapalle Institute of Technology & Science, Madanapalle, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 308-314

doi.org/10.47001/IRJIET/2025.INSPIRE50

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