A SECURE STORAGE MODEL WITH AUTHENTICATION AND OPTIMAL KEY GENERATION BASED ENCRYPTION

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 17 | 01 | Page :
    By

    R. SASIKALA, M.E.,

  • MAHARAJA M,

  • MUKESH.M,

  • NITHISH KUMAR.V,

  • VIDYADHARAN.K,

  1. Faculty, Department of CSE (cyber security) HOD, Department of CSE (cyber security) Student, Department of CSE (cyber security) Karpagam College of Engineering Karpagam College of Engineering Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  2. Head of Department, Department of CSE (cyber security) HOD, Department of CSE (cyber security) Student, Department of CSE (cyber security) Karpagam College of Engineering Karpagam College of Engineering Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  3. Student, Department of CSE (cyber security) HOD, Department of CSE (cyber security) Student, Department of CSE (cyber security) Karpagam College of Engineering Karpagam College of Engineering Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  4. Student, Department of CSE (cyber security) HOD, Department of CSE (cyber security) Student, Department of CSE (cyber security) Karpagam College of Engineering Karpagam College of Engineering Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  5. Student, Department of CSE (cyber security) HOD, Department of CSE (cyber security) Student, Department of CSE (cyber security) Karpagam College of Engineering Karpagam College of Engineering Karpagam College of Engineering Coimbatore, Tamil Nadu, India

Abstract

In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for cloud platforms, specifically Infrastructure as a Service (IaaS). In the DFA-AOKGE concept, a Secure Block Verification Mechanism (SBVM) is used to accomplish authentication. An Enhanced Equilibrium Optimizer (EEO) model is used to generate secret keys, and a multikey homomorphic encryption (MHE) approach is used to guarantee data secrecy before cloud storage. The suggested DFA-AOKGE method beats current state-of-the-art techniques on a number of performance parameters, according to experimental simulations. The DFA-AOKGE architecture is specifically designed to simplify and enhance the processes of digital evidence collection, storage, and protection while ensuring the preservation of evidence integrity and provenance throughout the forensic lifecycle. By maintaining a verifiable chain of custody and preventing unauthorized modifications, the architecture strengthens the trustworthiness and legal admissibility of digital evidence in cloud computing environments. This architecture is designed to make it easier to collect and protect digital evidence while maintaining its integrity and origin in cloud computing environments. Our approach, called DFA-AOKGE (Digital Forensic Architecture with Authentication and Optimal Key Generation Encryption), uses a decentralized system to distribute data across. multiple peers for collection and secure storage. For authentication, the DFA-AOKGE model uses a Secure Block Verification Mechanism (SBVM). It also generates secret keys using an Enhanced Equilibrium Optimizer (EEO) model. Data is encrypted using a multikey homomorphic encryption (MHE) method and then stored on the cloud server. Simulations show that the DFA- AOKGE method outperforms other recent approaches in various performance measures.

Keywords: Digital Forensics, Cloud Forensics, Secure Evidence Storage, Multikey Homomorphic Encryption, Decentralized Forensic Architecture

How to cite this article:
R. SASIKALA, M.E., MAHARAJA M, MUKESH.M, NITHISH KUMAR.V, VIDYADHARAN.K. A SECURE STORAGE MODEL WITH AUTHENTICATION AND OPTIMAL KEY GENERATION BASED ENCRYPTION. Journal of Control & Instrumentation. 2026; 17(01):-.
How to cite this URL:
R. SASIKALA, M.E., MAHARAJA M, MUKESH.M, NITHISH KUMAR.V, VIDYADHARAN.K. A SECURE STORAGE MODEL WITH AUTHENTICATION AND OPTIMAL KEY GENERATION BASED ENCRYPTION. Journal of Control & Instrumentation. 2026; 17(01):-. Available from: https://journals.stmjournals.com/joci/article=2026/view=238750


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Ahead of Print Subscription Review Article
Volume 17
01
Received 16/06/2025
Accepted 06/02/2026
Published 18/03/2026
Publication Time 275 Days
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