ZTX-BAIC: A Multi-Layered Cloud Security Framework Integrating ZTA Extended with Blockchain, AI, Advanced Encryption, and CSPM.
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| Title: | ZTX-BAIC: A Multi-Layered Cloud Security Framework Integrating ZTA Extended with Blockchain, AI, Advanced Encryption, and CSPM. |
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| Authors: | Khan, M. R. H.1, Rana, Md Masud2 ranam@sanjuancollege.edu, Rahman, Mir Mehedi1 |
| Source: | International Journal of Online & Biomedical Engineering. 2026, Vol. 22 Issue 2, p124-141. 18p. |
| Subjects: | Cloud computing security measures, Information technology security, Artificial intelligence, Data encryption, Blockchains, Technology Acceptance Model |
| Abstract: | With the advancement of modern technology, enterprises are migrating to cloud computing to accelerate innovation in an increasingly competitive global landscape. Despite its benefits, cloud computing is encountering highly escalating cyber threats, such as identity theft, data breaches, cyber vandalism, and social engineering. This study proposes ZTX-BAIC, an integrated comprehensive framework for cloud security that converges the idea of zero trust architecture (ZTA), generative AI-driven threat detection, blockchain-based auditable security and smart contracts, cloud security posture management (CSPM), and advanced encryption. In the proposed framework, ZTA enforces perpetual authentication and privilege-based access control while the blockchain reinforces security systems utilizing identity management and tamper-resistant audit logging. Generative AI (GenAI) and CSPM are integrated to detect possible real-time threats with high accuracy and to generate automated compliance reports. The technology acceptance model (TAM) is utilized to validate the practical deployment of this framework. This study critically fills gaps in existing cloud security practices. The proposed design offers an adaptive, diversified, multi-layered defensive model that ensures behavioral adaptation and technical sophistication. While previous models have employed ZTA, blockchain, or generative AI in isolation or combining a couple of them, this study integrates the mentioned techniques into a cohesive and unified cloud security framework. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191509288 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ZTX-BAIC: A Multi-Layered Cloud Security Framework Integrating ZTA Extended with Blockchain, AI, Advanced Encryption, and CSPM. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Khan%2C+M%2E+R%2E+H%2E%22">Khan, M. R. H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rana%2C+Md+Masud%22">Rana, Md Masud</searchLink><relatesTo>2</relatesTo><i> ranam@sanjuancollege.edu</i><br /><searchLink fieldCode="AR" term="%22Rahman%2C+Mir+Mehedi%22">Rahman, Mir Mehedi</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Online+%26+Biomedical+Engineering%22">International Journal of Online & Biomedical Engineering</searchLink>. 2026, Vol. 22 Issue 2, p124-141. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cloud+computing+security+measures%22">Cloud computing security measures</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology+security%22">Information technology security</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the advancement of modern technology, enterprises are migrating to cloud computing to accelerate innovation in an increasingly competitive global landscape. Despite its benefits, cloud computing is encountering highly escalating cyber threats, such as identity theft, data breaches, cyber vandalism, and social engineering. This study proposes ZTX-BAIC, an integrated comprehensive framework for cloud security that converges the idea of zero trust architecture (ZTA), generative AI-driven threat detection, blockchain-based auditable security and smart contracts, cloud security posture management (CSPM), and advanced encryption. In the proposed framework, ZTA enforces perpetual authentication and privilege-based access control while the blockchain reinforces security systems utilizing identity management and tamper-resistant audit logging. Generative AI (GenAI) and CSPM are integrated to detect possible real-time threats with high accuracy and to generate automated compliance reports. The technology acceptance model (TAM) is utilized to validate the practical deployment of this framework. This study critically fills gaps in existing cloud security practices. The proposed design offers an adaptive, diversified, multi-layered defensive model that ensures behavioral adaptation and technical sophistication. While previous models have employed ZTA, blockchain, or generative AI in isolation or combining a couple of them, this study integrates the mentioned techniques into a cohesive and unified cloud security framework. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijoe.v22i02.58239 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 124 Subjects: – SubjectFull: Cloud computing security measures Type: general – SubjectFull: Information technology security Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Data encryption Type: general – SubjectFull: Blockchains Type: general – SubjectFull: Technology Acceptance Model Type: general Titles: – TitleFull: ZTX-BAIC: A Multi-Layered Cloud Security Framework Integrating ZTA Extended with Blockchain, AI, Advanced Encryption, and CSPM. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khan, M. R. H. – PersonEntity: Name: NameFull: Rana, Md Masud – PersonEntity: Name: NameFull: Rahman, Mir Mehedi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 26268493 Numbering: – Type: volume Value: 22 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Online & Biomedical Engineering Type: main |
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