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Cite this DOI

10.46243/jst.2021.v6.i06.pp231-243 · Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks

APA (7th edition)

Himabindu Chetlapalli, H. C. (2021). Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks. *Journal of Science & Technology*, *6*(6), 231–243. https://doi.org/10.46243/jst.2021.v6.i06.pp231-243

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{himabinduchetlapalli2021novel,
  author    = {Himabindu Chetlapalli, Himabindu Chetlapalli},
  title     = {{Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {dec},
  volume    = {6},
  number    = {6},
  pages     = {231--243},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i06.pp231-243},
  url       = {https://doi.org/10.46243/jst.2021.v6.i06.pp231-243},
  language  = {en},
  abstract  = {Cloud computing provides both opportunities and challenges for maintaining user privacy and security. This study addresses these issues by proposing unique ways for boosting security and reducing privacy threats in multi-cloud systems. A significant priority is the creation of the Global Authentication Register System (GARS), a comprehensive strategy for mitigating the danger of material outflow in cloud environments while prioritizing privacy safeguards. The study addresses the specific security and privacy concerns faced by multi-cloud systems and presents the GARS as a pioneering solution based on a thorough review of the literature. System simulations are used to examine the effectiveness of GARS, including performance, security, and availability. Furthermore, user-centric privacy-preserving strategies are created based on insights gleaned from user research, guaranteeing that privacy concerns are effectively addressed across various cloud platforms. The report also looks at advanced threats and upcoming technologies, which can help strengthen the security framework's resilience against sophisticated cyberattacks. Regulatory compliance and data sovereignty are prioritized, with the security architecture built to meet legal criteria while efficiently managing data sovereignty concerns. The methodology takes a multidisciplinary approach, combining several analytical tools to deliver practical recommendations for enhancing cloud computing systems' security posture. Overall, the goal of this research is to help create a more secure and reliable computing environment for enterprises and individual users functioning in multi-cloud environments.}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks
AU  - Himabindu Chetlapalli, Himabindu Chetlapalli
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/12/01/
VL  - 6
IS  - 6
SP  - 231
EP  - 243
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Cloud computing provides both opportunities and challenges for maintaining user privacy and security. This study addresses these issues by proposing unique ways for boosting security and reducing privacy threats in multi-cloud systems. A significant priority is the creation of the Global Authentication Register System (GARS), a comprehensive strategy for mitigating the danger of material outflow in cloud environments while prioritizing privacy safeguards. The study addresses the specific security and privacy concerns faced by multi-cloud systems and presents the GARS as a pioneering solution based on a thorough review of the literature. System simulations are used to examine the effectiveness of GARS, including performance, security, and availability. Furthermore, user-centric privacy-preserving strategies are created based on insights gleaned from user research, guaranteeing that privacy concerns are effectively addressed across various cloud platforms. The report also looks at advanced threats and upcoming technologies, which can help strengthen the security framework's resilience against sophisticated cyberattacks. Regulatory compliance and data sovereignty are prioritized, with the security architecture built to meet legal criteria while efficiently managing data sovereignty concerns. The methodology takes a multidisciplinary approach, combining several analytical tools to deliver practical recommendations for enhancing cloud computing systems' security posture. Overall, the goal of this research is to help create a more secure and reliable computing environment for enterprises and individual users functioning in multi-cloud environments.
DO  - 10.46243/jst.2021.v6.i06.pp231-243
UR  - https://doi.org/10.46243/jst.2021.v6.i06.pp231-243
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2021.v6.i06.pp231-243",
    "DOI": "10.46243/jst.2021.v6.i06.pp231-243",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i06.pp231-243",
    "title": "Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Himabindu Chetlapalli",
            "given": "Himabindu Chetlapalli"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2021,
                12,
                1
            ]
        ]
    },
    "volume": "6",
    "issue": "6",
    "page": "231-243",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Cloud computing provides both opportunities and challenges for maintaining user privacy and security. This study addresses these issues by proposing unique ways for boosting security and reducing privacy threats in multi-cloud systems. A significant priority is the creation of the Global Authentication Register System (GARS), a comprehensive strategy for mitigating the danger of material outflow in cloud environments while prioritizing privacy safeguards. The study addresses the specific security and privacy concerns faced by multi-cloud systems and presents the GARS as a pioneering solution based on a thorough review of the literature. System simulations are used to examine the effectiveness of GARS, including performance, security, and availability. Furthermore, user-centric privacy-preserving strategies are created based on insights gleaned from user research, guaranteeing that privacy concerns are effectively addressed across various cloud platforms. The report also looks at advanced threats and upcoming technologies, which can help strengthen the security framework's resilience against sophisticated cyberattacks. Regulatory compliance and data sovereignty are prioritized, with the security architecture built to meet legal criteria while efficiently managing data sovereignty concerns. The methodology takes a multidisciplinary approach, combining several analytical tools to deliver practical recommendations for enhancing cloud computing systems' security posture. Overall, the goal of this research is to help create a more secure and reliable computing environment for enterprises and individual users functioning in multi-cloud environments.",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

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