An Implementation of Forensic Evidence Management under AWS-S3 Service
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Forensic Evidence Management
Blockchain
Chain of Custody
AWS-S3
Security
Abstract
In the realm of forensic science, effective evidence management is paramount to ensuring the integrity and admissibility of evidence collected from crime scenes. The Chain of Custody (CoC) process plays a pivotal role in safeguarding this integrity by tracking and documenting the custody of evidence throughout its lifecycle. Blockchain technology offers a compelling solution to enhance CoC processes by providing a decentralized, immutable, and transparent ledger system. The digitalization of forensic evidence management through blockchain presents a contemporary and environmentally sustainable approach. Blockchain operates as a distributed ledger where transactions are securely recorded in a chronological order within blocks, accessible to all participants in the network. This study endeavors to devise a comprehensive framework and algorithm to integrate blockchain into forensic evidence management, focusing on establishing and maintaining the Chain of Custody seamlessly. The proposed solution aims to leverage blockchain's inherent features of transparency, immutability, and cryptographic security to fortify the evidentiary trail, thereby ensuring the credibility and admissibility of digital forensic evidence in legal proceedings.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Jeevan Basri B S | Vidya Vikas Institue of Engineering & Technology |
| 2 | Anusha K N | Vidya Vikas Institue of Engineering & Technology |
| 3 | Karthik E M | Vidya Vikas Institue of Engineering & Technology |
| 4 | Adithya Baragi S | Vidya Vikas Institue of Engineering & Technology |
| 5 | Dr. Archana B | Vidya Vikas Institue of Engineering & Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Jeevan Basri B, N, Anusha K, M, Karthik E, S, Adithya Baragi, & B, Dr. Archana (2024). An Implementation of Forensic Evidence Management under AWS-S3 Service. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 1478-1483.
MLA Style
S, Jeevan Basri B, et al. "An Implementation of Forensic Evidence Management under AWS-S3 Service." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 1478-1483.
IEEE Style
Jeevan Basri B S, Anusha K N, Karthik E M, Adithya Baragi S, and Dr. Archana B, "An Implementation of Forensic Evidence Management under AWS-S3 Service," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 1478-1483, 2024.
Vancouver Style
S Jeevan Basri B, N Anusha K, M Karthik E, S Adithya Baragi, B Dr. Archana. An Implementation of Forensic Evidence Management under AWS-S3 Service. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):1478-1483.
Harvard Style
S, Jeevan Basri B, N, Anusha K, M, Karthik E, S, Adithya Baragi, & B, Dr. Archana (2024) 'An Implementation of Forensic Evidence Management under AWS-S3 Service', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 1478-1483.
Chicago Style
S, Jeevan Basri B, et al. "An Implementation of Forensic Evidence Management under AWS-S3 Service." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1478-1483.
Turabian Style
S, Jeevan Basri B, et al. "An Implementation of Forensic Evidence Management under AWS-S3 Service." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1478-1483.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable