Secure Storage Model for Digital Forensics with Authentication and Optimized Encryption Key Generation

<p><em>Digital forensics is an essential component of contemporary cybersecurity investigations, as it facilitates the secure collection, retention, and evaluation of digital evidence. The confidentiality, integrity, and authenticity of forensic evidence are significantly compromised by the increasing number of cyberattacks, data manipulation attempts, or unauthorized access attempts. A Secure Storage Model for Digital Forensics with Authentication and Optimized Encryption Key Generation is proposed by this work to ensure secure evidence preservation and controlled access. The model employs advanced algorithms to generate cryptographic keys and incorporate multi-factor authentication, thereby improving encryption performance and decreasing vulnerabilities caused by using static or predictable keys. By using secure hashing, the system enhances evidence integrity verification and also enables data storage that is impervious to manipulation. The experimental test confirms the superior security efficiency, lower access latency, and higher encryption performance compared to traditional forensic storage methods. The results show that the solution is well-suited for secure digital forensic workflows, allowing for the handling of admissible evidence in law enforcement, cyber security auditing, and legal investigations.</em></p>

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-13
DOI
https://doi.org/10.58482/ijersem.v2i1.10
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure Storage Model for Digital Forensics with Authentication and Optimized Encryption Key Generation

Yarlapalli Chethana, Dr. S Anupama Kumar, Aruvai Dakshayani, Bandapalli Ganesh
Zenodo (CERN European Organization for Nuclear Research)
Digital and Cyber Forensics
article

Secure Storage Model for Digital Forensics with Authentication and Optimized Encryption Key Generation

Yarlapalli Chethana, Dr. S Anupama Kumar, Aruvai Dakshayani, Bandapalli Ganesh
article en

Abstract

<p><em>Digital forensics is an essential component of contemporary cybersecurity investigations, as it facilitates the secure collection, retention, and evaluation of digital evidence. The confidentiality, integrity, and authenticity of forensic evidence are significantly compromised by the increasing number of cyberattacks, data manipulation attempts, or unauthorized access attempts. A Secure Storage Model for Digital Forensics with Authentication and Optimized Encryption Key Generation is proposed by this work to ensure secure evidence preservation and controlled access. The model employs advanced algorithms to generate cryptographic keys and incorporate multi-factor authentication, thereby improving encryption performance and decreasing vulnerabilities caused by using static or predictable keys. By using secure hashing, the system enhances evidence integrity verification and also enables data storage that is impervious to manipulation. The experimental test confirms the superior security efficiency, lower access latency, and higher encryption performance compared to traditional forensic storage methods. The results show that the solution is well-suited for secure digital forensic workflows, allowing for the handling of admissible evidence in law enforcement, cyber security auditing, and legal investigations.</em></p>

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 91%
Digital and Cyber Forensics
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Secure Storage Model for Digital Forensics with Authentication and Optimized Encryption Key Generation — Yarlapalli Chethana, Dr. S Anupama Kumar, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS