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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

IMPLEMENTATION OF BLOCK CHAIN TECHNOLOGY IN FORENSIC EVIDENCE MANAGEMENT

B.MALLESHWARI D.PRANAV SAI E.BHARATH B.SRAVAN KUMAR

DR.B.MOHAN BABU

Department of CSE(Data Science) CMR TECHNICAL CAMPUS Hyderabad Telangana India

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Forensic evidence management in real-world environments presents numerous challenges such as data tampering, unauthorized access, lack of transparency, and inefficiencies in maintaining the chain of custody. In this project, we propose a robust system for managing forensic evidence using blockchain technology by integrating both traditional database methods and decentralized ledger mechanisms. The proposed system utilizes blockchain features such as cryptographic hashing, distributed storage, and consensus protocols along with smart contracts to securely store, verify, and track forensic evidence throughout its lifecycle [1].

A comprehensive forensic dataset consisting of digital evidence records is used to conduct extensive experiments. The system is evaluated by combining blockchain storage with off-chain databases to efficiently handle large volumes of data while ensuring integrity through hash references stored on the blockchain. Multiple configurations of storage and verification techniques have been tested to identify the most effective approach for secure evidence management. The analysis of results indicates that the hybrid blockchain model integrated with smart contracts provides superior performance in terms of data integrity, transparency, and resistance to tampering [2].

How to Cite this Paper

B.MALLESHWARI, , SAI, D., E.BHARATH, & KUMAR, B. (2026). Implementation of Block Chain Technology in Forensic Evidence Management. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.274

B.MALLESHWARI, , et al.. "Implementation of Block Chain Technology in Forensic Evidence Management." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.274.

B.MALLESHWARI, ,D.PRANAV SAI, E.BHARATH, and B.SRAVAN KUMAR. "Implementation of Block Chain Technology in Forensic Evidence Management." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.274.

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References

[1Satoshi Nakamoto, “Bitcoin: A Peer-to-Peer Electronic Cash System,” 2008 – This paper introduces blockchain technology and explains how decentralized ledgers and cryptographic techniques ensure secure and tamper-proof data management.

[2] M. Crosby, P. Pattanayak, S. Verma, and V. Kalyanaraman, “Blockchain Technology: Beyond Bitcoin,” 2016 – The authors survey blockchain applications across various domains and discuss its potential for improving security, transparency, and scalability.

[3]Kshetri, N., “Blockchain’s roles in strengthening cybersecurity and protecting privacy,” Telecommunications Policy, 2017 – This work explains how blockchain can be used for secure data handling and its relevance in forensic evidence management systems.

[4]Zyskind, G., Nathan, O., and Pentland, A., “Decentralizing Privacy: Using Blockchain to Protect Personal Data,” 2015 – The authors discuss how blockchain enhances privacy and security in data management systems, which is applicable to digital forensics.

[5]Christidis, K. and Devetsikiotis, M., “Blockchains and Smart Contracts for the Internet of Things,” IEEE Access, 2016 – This study highlights the role of smart contracts in automating secure processes, which can be applied to forensic evidence verification and management systems.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 11 2026
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