Cite this DOI

Lohia, D. H. (2024). Secure Data Storage Optimization Over Cloud using Encrypted Cloud Data Deduplication Technique. *Journal of Science & Technology*, *9*(1), 131–138. https://doi.org/10.46243/jst.2024.v9.i01.pp131-138

@article{lohia2024secure,
  author    = {Lohia, Dr. Harsh},
  title     = {{Secure Data Storage Optimization Over Cloud using Encrypted Cloud Data Deduplication Technique}},
  journal   = {Journal of Science \& Technology},
  year      = {2024},
  month     = {jan},
  volume    = {9},
  number    = {1},
  pages     = {131--138},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2024.v9.i01.pp131-138},
  url       = {https://doi.org/10.46243/jst.2024.v9.i01.pp131-138},
  language  = {en},
  abstract  = {Data deduplication is a crucial data compression technique used to eliminate duplicate copies of repetitive data, commonly employed in cloud storage to reduce storage space and bandwidth usage. To ensure the confidentiality of sensitive data while supporting deduplication, a method known as convergent encryption has been introduced to encrypt data before outsourcing. In this paper, we present the first formal approach to address the problem of authorized data deduplication. Unlike traditional deduplication systems, we also consider the varying privileges of users during the duplicate check process, in addition to the data itself. We introduce several novel deduplication constructions that facilitate authorized duplicate check within a hybrid cloud architecture. A comprehensive security analysis validates the effectiveness of proposed scheme based on the specified security model. As a proof of concept, we have implemented a prototype of the proposed authorized duplicate check scheme and performed testbed experiments using it. The results demonstrate that proposed approach incurs minimal overhead compared to normal operations.}
}

TY  - JOUR
TI  - Secure Data Storage Optimization Over Cloud using Encrypted Cloud Data Deduplication Technique
AU  - Lohia, Dr. Harsh
JO  - Journal of Science & Technology
PY  - 2024
DA  - 2024/01/25/
VL  - 9
IS  - 1
SP  - 131
EP  - 138
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Data deduplication is a crucial data compression technique used to eliminate duplicate copies of repetitive data, commonly employed in cloud storage to reduce storage space and bandwidth usage. To ensure the confidentiality of sensitive data while supporting deduplication, a method known as convergent encryption has been introduced to encrypt data before outsourcing. In this paper, we present the first formal approach to address the problem of authorized data deduplication. Unlike traditional deduplication systems, we also consider the varying privileges of users during the duplicate check process, in addition to the data itself. We introduce several novel deduplication constructions that facilitate authorized duplicate check within a hybrid cloud architecture. A comprehensive security analysis validates the effectiveness of proposed scheme based on the specified security model. As a proof of concept, we have implemented a prototype of the proposed authorized duplicate check scheme and performed testbed experiments using it. The results demonstrate that proposed approach incurs minimal overhead compared to normal operations.
DO  - 10.46243/jst.2024.v9.i01.pp131-138
UR  - https://doi.org/10.46243/jst.2024.v9.i01.pp131-138
ER  -

{
    "type": "article-journal",
    "id": "10.46243/jst.2024.v9.i01.pp131-138",
    "DOI": "10.46243/jst.2024.v9.i01.pp131-138",
    "URL": "https://doi.org/10.46243/jst.2024.v9.i01.pp131-138",
    "title": "Secure Data Storage Optimization Over Cloud using Encrypted Cloud Data Deduplication Technique",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Lohia",
            "given": "Dr. Harsh"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2024,
                1,
                25
            ]
        ]
    },
    "volume": "9",
    "issue": "1",
    "page": "131-138",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Data deduplication is a crucial data compression technique used to eliminate duplicate copies of repetitive data, commonly employed in cloud storage to reduce storage space and bandwidth usage. To ensure the confidentiality of sensitive data while supporting deduplication, a method known as convergent encryption has been introduced to encrypt data before outsourcing. In this paper, we present the first formal approach to address the problem of authorized data deduplication. Unlike traditional deduplication systems, we also consider the varying privileges of users during the duplicate check process, in addition to the data itself. We introduce several novel deduplication constructions that facilitate authorized duplicate check within a hybrid cloud architecture. A comprehensive security analysis validates the effectiveness of proposed scheme based on the specified security model. As a proof of concept, we have implemented a prototype of the proposed authorized duplicate check scheme and performed testbed experiments using it. The results demonstrate that proposed approach incurs minimal overhead compared to normal operations.",
    "ISSN": "2456-5660"
}

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.2024.v9.i01.pp131-138 gives all four in one JSON answer.