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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July 2023, Volume 38 Issue 3
    Article

    ENHANCING DATA SECURITY THROUGH SECURE STEGANOGRAPHY: INTEGRATING SERPENT ENCRYPTION, DATA CHUNKING AND NETWORK DISTRIBUTION
    Apeksha Dave and Dr. Sandeep Singh Rajpoot
    Journal of Data Acquisition and Processing, 2023, 38 (3): 5524-5532 . 

    Abstract

    Steganography is a method for hiding important data inside of ostensibly innocent carriers. In this study, we describe a reliable steganographic technique that combines Serpent's powerful encryption with data chunking and network dispersion. The purpose of this paper is twofold: first, to create a safe and effective method for breaking up ciphertext into smaller pieces, followed by steganographic embedding and distribution; and second, to assess how well this suggested method protects the confidentiality and integrity of data. The initial goal is to build and put into practise a revolutionary steganographic method with strong security using Serpent encryption. We want to improve the system's effectiveness and dependability by breaking the ciphertext into smaller pieces. To further strengthen the security of the steganographic technique, we also investigate how to distribute these encrypted data pieces over a network. The success of the suggested steganographic approach is evaluated in the second goal. We assess the amount of data integrity and confidentiality attained when it is being sent to and stored in a cloud environment. We assess the security and dependability of our method through in-depth study and experimentation and contrast it with other steganographic techniques.

    Keyword

    Steganography, Serpent Encryption, Data Chunking, Network Distribution, Data Confidentiality, Data Integrity, Cloud Storage.


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ISSN 1004-9037

         

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