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10.46243/jst.2021.v6.i06.pp231-243 registered

Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks

Resolves to https://www.jst.org.in/index.php/pub/article/view/1028

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2021.v6.i06.pp231-243

Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 83118b139ed91503…

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What the DOI identifies

JournalArticle — an article in a journal · Digital · Visual · en

Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks (PrincipalTitle)

Published 2021-12-01

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 6 · issue 6 · pages 231–243

Agents

  • Himabindu Chetlapalli Himabindu Chetlapalli (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jst.2021.v6.i06.pp231-243

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.

Licence https://creativecommons.org/licenses/by/4.0

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.

ElementValueIn the record
DOI Name
DOI name
10.46243/jst.2021.v6.i06.pp231-243doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
Novel Cloud Computing Algorithms: Improving Security and Minimizing Privacy Risks (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: Himabindu Chetlapalli Himabindu Chetlapalli
publisher: Longman Publishers
published: 2021-12-01
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 6 · no. 6 · pp. 231–243
language: en
form: Digital · Visual · Language
agents, dates, container, language, structural_type, modes, characters
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOIidentifiers, relations (IsSameAs)
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copyrecord.source_agency (our code, ra_doi_name, for names issued here once appointed)
Created Date
issueDate
2024-07-03record.registered (when the DOI name was first registered)
relatedIdentifiersnone needed — the descriptive metadata is in this recordcontainer, relations (only where the descriptive metadata lives at another identifier)

complete Every System Metadata element is here, with the basic metadata a journal article needs.

The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs

History — the ledger

Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.

#WhenWhatByChanges
129 Sep 2026, 10:00 PMregister
registered at Crossref; record read from api.crossref.org
Administrator (admin) 82 fields set · sha256 3da258fa64fb…
229 Sep 2026, 11:59 PMupdate
record re-read from api.crossref.org
Administrator (admin)
container.titles.0.value: Journal of Science & Technology → Journal of Science & Technology

Machine-readable: the history as JSON, with the full record after each change.

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