Cite this DOI

Karthikeyan Parthasarathy, Naresh Kumar Reddy Panga, Jyothi Bobba, Ramya Lakshmi Bolla, Rajeswaran Ayyadurai, & R. Hemnath (2025). Fortifying Cloud Security with Advanced Data Encryption Technique. *Journal of Science & Technology*, *10*(3), 20–27. https://doi.org/10.46243/jst.2025.v10.i03.pp20-27

@article{karthikeyanparthasarathy2025fortifying,
  author    = {Karthikeyan Parthasarathy and Naresh Kumar Reddy Panga and Jyothi Bobba and Ramya Lakshmi Bolla and Rajeswaran Ayyadurai and R. Hemnath},
  title     = {{Fortifying Cloud Security with Advanced Data Encryption Technique}},
  journal   = {Journal of Science \& Technology},
  year      = {2025},
  month     = {mar},
  volume    = {10},
  number    = {3},
  pages     = {20--27},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2025.v10.i03.pp20-27},
  url       = {https://doi.org/10.46243/jst.2025.v10.i03.pp20-27},
  abstract  = {The rapid growth of cloud computing has introduced several challenges regarding the securing of sensitive data.Traditional encryption methods such as those proposed by AES and RSA are unable to efficiently perform withthe scale of large cloud environments as they have high computational cost. Recent advancements that have beenmade in encryption methods, especially concerning homomorphic encryption, appear to unravel an unprecedentedpotential since they provide capabilities for performing computations on encrypted data without the need todecrypt it thus assuring the privacy and integrity of data. However, they are still associated with addingcomputational overhead, and that will definitely pose various challenges for real-time cloud data processing. Thesetup proposed in this paper is a complete framework that integrates homomorphic encryption within a cloudsecurity environment. It evaluates the effectiveness of homomorphic encryption in the cloud for aspects pertainingto performance and security, especially in terms of scalability as well with processing huge amounts of sensitivedata while ensuring much efficiency in performance. Further, the framework includes some prior processing likenormalization so as to optimize efficiency in encryption performance. A comprehensive security analysis isundertaken toward measuring the resistance of such encryption under numerous attack scenarios, and the effectof quantum computing applications on the proposed method of encryption is also discussed in this regard. Thispaper presents a thorough study of performance in conjunction with security trade-offs and, the overalldevelopment of a secure and efficient cloud data processing model.}
}

TY  - JOUR
TI  - Fortifying Cloud Security with Advanced Data Encryption Technique
AU  - Karthikeyan Parthasarathy
AU  - Naresh Kumar Reddy Panga
AU  - Jyothi Bobba
AU  - Ramya Lakshmi Bolla
AU  - Rajeswaran Ayyadurai
AU  - R. Hemnath
JO  - Journal of Science & Technology
PY  - 2025
DA  - 2025/03/28/
VL  - 10
IS  - 3
SP  - 20
EP  - 27
PB  - Longman Publishers
SN  - 2456-5660
AB  - The rapid growth of cloud computing has introduced several challenges regarding the securing of sensitive data.Traditional encryption methods such as those proposed by AES and RSA are unable to efficiently perform withthe scale of large cloud environments as they have high computational cost. Recent advancements that have beenmade in encryption methods, especially concerning homomorphic encryption, appear to unravel an unprecedentedpotential since they provide capabilities for performing computations on encrypted data without the need todecrypt it thus assuring the privacy and integrity of data. However, they are still associated with addingcomputational overhead, and that will definitely pose various challenges for real-time cloud data processing. Thesetup proposed in this paper is a complete framework that integrates homomorphic encryption within a cloudsecurity environment. It evaluates the effectiveness of homomorphic encryption in the cloud for aspects pertainingto performance and security, especially in terms of scalability as well with processing huge amounts of sensitivedata while ensuring much efficiency in performance. Further, the framework includes some prior processing likenormalization so as to optimize efficiency in encryption performance. A comprehensive security analysis isundertaken toward measuring the resistance of such encryption under numerous attack scenarios, and the effectof quantum computing applications on the proposed method of encryption is also discussed in this regard. Thispaper presents a thorough study of performance in conjunction with security trade-offs and, the overalldevelopment of a secure and efficient cloud data processing model.
DO  - 10.46243/jst.2025.v10.i03.pp20-27
UR  - https://doi.org/10.46243/jst.2025.v10.i03.pp20-27
ER  -

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    "DOI": "10.46243/jst.2025.v10.i03.pp20-27",
    "URL": "https://doi.org/10.46243/jst.2025.v10.i03.pp20-27",
    "title": "Fortifying Cloud Security with Advanced Data Encryption Technique",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Karthikeyan Parthasarathy"
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        {
            "family": "Naresh Kumar Reddy Panga"
        },
        {
            "family": "Jyothi Bobba"
        },
        {
            "family": "Ramya Lakshmi Bolla"
        },
        {
            "family": "Rajeswaran Ayyadurai"
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        {
            "family": "R. Hemnath"
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                2025,
                3,
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    "volume": "10",
    "issue": "3",
    "page": "20-27",
    "publisher": "Longman Publishers",
    "abstract": "The rapid growth of cloud computing has introduced several challenges regarding the securing of sensitive data.Traditional encryption methods such as those proposed by AES and RSA are unable to efficiently perform withthe scale of large cloud environments as they have high computational cost. Recent advancements that have beenmade in encryption methods, especially concerning homomorphic encryption, appear to unravel an unprecedentedpotential since they provide capabilities for performing computations on encrypted data without the need todecrypt it thus assuring the privacy and integrity of data. However, they are still associated with addingcomputational overhead, and that will definitely pose various challenges for real-time cloud data processing. Thesetup proposed in this paper is a complete framework that integrates homomorphic encryption within a cloudsecurity environment. It evaluates the effectiveness of homomorphic encryption in the cloud for aspects pertainingto performance and security, especially in terms of scalability as well with processing huge amounts of sensitivedata while ensuring much efficiency in performance. Further, the framework includes some prior processing likenormalization so as to optimize efficiency in encryption performance. A comprehensive security analysis isundertaken toward measuring the resistance of such encryption under numerous attack scenarios, and the effectof quantum computing applications on the proposed method of encryption is also discussed in this regard. Thispaper presents a thorough study of performance in conjunction with security trade-offs and, the overalldevelopment of a secure and efficient cloud data processing model.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2025.v10.i03.pp20-27 gives all four in one JSON answer.