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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52463

Data Reviver-Iterative Data Resurgence Engine

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52463

Volume:

9 |

9 |

Sep 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

HGBB

Harshan Gowda B B1

PKS2

Prof. K Sharath 2

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Abstract

In today’s world, Cyber Security and Forensics are in great demand in this data recovery plays an important role. In certain scenarios, the data storage devices could be destroyed or damaged by the convict and this is where data recovery comes in to play and recover data from these artifacts. This field of data recovery is known to many criminals and they always try to bypass the current recovery techniques whereas the organizations always tries to discover newer and more reliable recovery techniques to tackle this situation. Windows Search maintains a single database of the files, emails, programmers and Internet history of all the users of a personal computer, providing a potentially valuable source of information for a forensic investigator, especially since some information within the database is persistent, even if the underlying data are not available to the system (e.g. removable or encrypted drives). However, when files are deleted from the system their record is also deleted from the database. Existing tools to extract information from Windows Search use a programmatic interface to the underlying database, but this approach is unable to recover deleted records that may remain in unused space within the database or in other parts of the file system.

KEYWORDS

Data Recovery Resilience Iterative Processing Data Integration Optimization.

Cite This Article

Harshan Gowda B B1, Prof. K Sharath 2, "Data Reviver-Iterative Data Resurgence Engine," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025.

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Publication Date

5/8/2025

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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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