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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45436

Cyber Records Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45436

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45436

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

EHP

Er. Himanshi Phour

AP

Abhishek Pathak

A

Abhinav

PS

Prakash Singh

RY

Rohan Yadav

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Abstract

This paper investigate AI-driven felony administration, integrating machine intelligence for crime risk forecast, mechanized investigation foundations, and digital case records. By leveraging predicting analytics, actual-occasion data approach, and AI-assisted permissible interpretation, the study highlights the part of cloud-based depository, interoperability, and honest-time breach analysis in reinforcing police officers efficiency. The unification of AI tools streamlines case administration, betters response periods, and enables dossier-compelled policy-making. Additionally, the research stresses ethical AI arrangement, guaranteeing bias mitigation and solitude agreement. The proposed method empowers law enforcement accompanying litigable insights for full of enthusiasm crime stop and study.

KEYWORDS

Cyber records Digital forensics Secure storage Case tracking Data integrity Cybercrime logs Record encryption Access control Evidence chain Legal compliance Audit logs Incident records Role-based access Threat reports Secure database.

Cite This Article

Er. Himanshi Phour, Abhishek Pathak, Abhinav, Prakash Singh, Rohan Yadav, "Cyber Records Management System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45436

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Publication Date

4/22/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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5

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Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

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No funding information available for this research.

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