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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44907

Undoit: Data Recovery Application

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44907

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PSL

Prof. Shobha Lolge1

MV

Mahesh Vishwakarma2

SY

Saurabhkumar Yadav3

VG

Vishal Gupta4

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Abstract

Data recovery software for mobile phones is engineered to retrieve lost, deleted, or corrupted images from internal storage, SD cards, and cloud backups. These tools utilize advanced scanning algorithms, deep file search, and AI-based reconstruction techniques to restore photos in formats such as JPEG, PNG, HEIF, and RAW. The success of data recovery is influenced by factors including file overwriting, storage fragmentation, and the extent of data corruption. To maximize recovery chances, users are advised to cease device usage immediately after accidental deletion and avoid saving new files, while regular backups and cloud synchronization remain the most effective preventative strategies against permanent data loss. This research paper presents a comparative analysis of three prominent forensic data recovery tools—FTK Imager, Test Disk, and Foremost—evaluating their effectiveness in retrieving lost files from various storage media. FTK Imager, a proprietary tool, is recognized for its structured imaging and high recovery success rates, supporting multiple file systems and forensic image formats. Test Disk, an open-source solution, excels in partition recovery and repairing non-bootable disks, though its undelete feature is limited to specific file systems. Foremost, a command-line tool, specializes in file carving, making it effective for recovering deleted files even when file system metadata is compromised, but it may struggle with complete file restoration in cases of fragmentation

KEYWORDS

Data Recovery Digital Forensics FTK Imager Test disk Foremost File Recovery

Cite This Article

Prof. Shobha Lolge1, Mahesh Vishwakarma2, Saurabhkumar Yadav3, Vishal Gupta4, "Undoit: Data Recovery Application," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

4/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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