Zero Trust Architecture in Cloud Networks: Application, Challenges and Future Opportunities
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Abstract
Cloud computing has become essential in this digital world as it provides opportunities and challenges for organizations. This research explores the implementation and effectiveness of Zero Trust Architecture (ZTA) in addressing security challenges within cloud networks. Utilizing qualitative research methods, including a systematic literature review from 2020 to 2024, the study investigates insights from diverse sources such as journal articles, academic literature, and case studies. Thematic analysis organizes findings into critical themes, revealing ZTA's impact on mitigating lateral movement, reducing insider threat probability, enhancing network micro-segmentation, and improving identity and access management. The comparative analysis demonstrates significant improvements in security incidents post-ZTA implementation. Moreover, the study highlights best practices for ZTA adoption and outlines future advancements, including integration with emerging technologies like machine learning and artificial intelligence. This research underscores ZTA's pivotal role in fortifying cloud network security and offers valuable insights for practitioners and researchers.
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Commercial segmentation and monitoring solutions require annual renewals of $15K-40K, commitments that small organizations struggle to sustain during economic downturns.
“Commercial segmentation and monitoring solutions require annual renewals of $15K-40K, commitments that small organizations struggle to sustain during economic downturns [7].”
From Manufacturing Cybersecurity for SMEs: Implementing Zero Trust in Legacy Industrial Environments (2026) · cites this paper as [7]
Sections 5.1 and 5.3 discuss network segmentation and monitoring as security measures, not their commercial pricing. Searches for annual renewals, the $15K–40K range, small-organization budgets, and economic downturns found no passage addressing those claims. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThe pilot facility IT staff lacked formal security certifications, advanced training in industrial control system security, and hands-on experience implementing sophisticated security architectures.
“The pilot facility IT staff lacked formal security certifications, advanced training in industrial control system security, and hands-on experience implementing sophisticated security architectures [7].”
From Manufacturing Cybersecurity for SMEs: Implementing Zero Trust in Legacy Industrial Environments (2026) · cites this paper as [7]
Sections 2.3 and 5.6 discuss implementing zero-trust security in cloud networks, while section 2.5 mentions general employee security-awareness training. None addresses a pilot facility or its IT staff’s certifications, industrial control system training, or hands-on experience; searches for those terms found no supporting passage. Page numbers were not available in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measuredLayer 3 employed event-based baseline models triggered by shift changes, product changeovers, and equipment state changes.
“Layer 3 employed event-based baseline models triggered by shift changes, product changeovers, and equipment state changes [7].”
From Manufacturing Cybersecurity for SMEs: Implementing Zero Trust in Legacy Industrial Environments (2026) · cites this paper as [7]
Section 2.4 discusses mathematical models for cloud-network security, and section 5.1 discusses monitoring and lateral movement; neither describes a Layer 3 event-based baseline model. Searches for shift changes, product changeovers, and equipment state changes found no passage addressing those triggers in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Cites
IoT and Cloud Computing Issues, Challenges and Opportunities: A Review
Sadeeq, M. M., Abdulkareem, N. M., Zeebaree, S. R. M., Ahmed, D. M., Sami, A. S., & Zebari, R. R. (2021) · Qubahan Academic Journal · doi:10.48161/qaj.v1n2a36 · Cited by 453 · see citing works
Thapa, C., & Camtepe, S. A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.104130 · Cited by 424 · see citing works
Zero Trust Architecture (ZTA): A Comprehensive Survey
Syed, N. F., Shah, S. W., Shaghaghi, A., Anwar, A., Baig, Z., & Doss, R. (2022) · IEEE Access · doi:10.1109/access.2022.3174679 · Cited by 406 · see citing works
A Survey on Zero Trust Architecture: Challenges and Future Trends
He, Y., Huang, D., Chen, L., Ni, Y., & Ma, X. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/6476274 · Cited by 260 · see citing works
Tian, Z., Shi, W., Wang, Y., et al. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2907754 · Cited by 227 · see citing works
A Security Awareness and Protection System for 5G Smart Healthcare Based on Zero-Trust Architecture
Chen, B., Qiao, S., Zhao, J., Liu, D., Shi, X., Lyu, M., Chen, H., Lu, H., & Zhai, Y. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3041042 · Cited by 213 · see citing works
Rose, S., Borchert, O., Mitchell, S., & Connelly, S. (2019) · doi:10.6028/nist.sp.800-207-draft · Cited by 132 · see citing works
Establishing a Zero Trust Strategy in Cloud Computing Environment
Mehraj, S., & Banday, M. T. (2020) · International Conference on Computer Communication and Informatics (ICCCI) · doi:10.1109/iccci48352.2020.9104214 · Cited by 129 · see citing works
Martín, A. G., Fernández-Isabel, A., de Diego, I. M., & Beltrán, M. (2021) · Applied Intelligence · doi:10.1007/s10489-020-02160-x · Cited by 110 · see citing works
A critical analysis of Zero Trust Architecture (ZTA)
Fernández, E. B., & Brazhuk, A. (2024) · Computer Standards & Interfaces · doi:10.1016/j.csi.2024.103832 · Cited by 107 · see citing works
Milan, S. T., Rajabion, L., Ranjbar, H., et al. (2019) · Computers & Operations Research · doi:10.1016/j.cor.2019.05.022 · Cited by 101 · see citing works
Threat Defense: Cyber Deception Approach and Education for Resilience in Hybrid Threats Model
Steingartner, W., Galinec, D., & Kozina, A. (2021) · Symmetry · doi:10.3390/sym13040597 · Cited by 99 · see citing works
Augmenting zero trust architecture to endpoints using blockchain: A state‐of‐the‐art review
Alevizos, L., Ta, V. T., & Eiza, M. H. (2021) · Security and Privacy · doi:10.1002/spy2.191 · Cited by 96 · see citing works
A Review of Insider Threat Detection Approaches With IoT Perspective
Kim, A., Oh, J., Ryu, J., & Lee, K. (2020) · IEEE Access · doi:10.1109/access.2020.2990195 · Cited by 93 · see citing works
Dynamic Access Control and Authorization System based on Zero-trust architecture
Yao, Q., Wang, Q., Zhang, X., & Fei, J. (2020) · 2020 International Conference on Control, Robotics and Intelligent System · doi:10.1145/3437802.3437824 · Cited by 82 · see citing works
Tyler, D., & Viana, T. (2021) · Applied Sciences · doi:10.3390/app11167499 · Cited by 53 · see citing works
Zero trust architecture: Redefining network security paradigms in the digital age
Khan, M. J. (2023) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2023.19.3.1785 · Cited by 41 · see citing works
Data protection by design: Building the foundations of trustworthy data sharing
Stalla-Bourdillon, S., Thuermer, G., Walker, J., Carmichael, L., & Simperl, E. P. B. (2020) · Data & Policy · doi:10.1017/dap.2020.1 · Cited by 39 · see citing works
Issues and Challenges in Cloud Storage Architecture: A SurveyPreprint
Jan, S. U., Ghani, A., Alshdadi, A. A., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3630761 · Cited by 25 · see citing works
Olabanji, S. O., Olaniyi, O. O., Adigwe, C. S., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4706726 · Cited by 22 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- [7]7. Xie L, Hang F, Guo W, Lv Y, Chen H. A micro-segmentation protection scheme based on zero trust architecture, 6th International Conference on Information Science, Computer Technology and Transportation. 2021;1-4.
- [17]17. Shitta-Bey M, Adewole M. Security Concerns of Cloud Migration and Its Implications on Cloud-Enabled Business Transformation, Doctoral dissertation; 2023.
- [18]18. Agrawal N, Tapaswi S. Defense mechanisms against DDoS attacks in a cloud computing environment: State-of- the-art and research challenges, IEEE Communications Surveys & Tutorials. 2019;21(4):3769-3795.
- [21]21. Singh R, Thakkar J. Warraich IAM identity Access Management-importance in maintaining security systems within organizations. European Journal of Engineering and Technology Research. 2023;30-38.
Cited by
Sorted by citations
Manufacturing Cybersecurity for SMEs: Implementing Zero Trust in Legacy Industrial Environments
Akinsanya, A. (2026) · Research Square · doi:10.21203/rs.3.rs-8846670/v1 · Cited by 1 · see citing works
- Authors
- Ahmadi, S.
- Affiliations
- National Coalition of Independent Scholars (US)
- Corresponding author
- Ahmadi, Sina
- ORCID
- Ahmadi, Sina
- Venue
- Journal of Engineering Research and Reports
- Publisher
- Sciencedomain International
- Published
- 2024-02-13
- Volume
- 26
- Issue
- 2
- Pages
- 215-228
- ISSN
- 2582-2926 (ISSN-L)
- OpenAlex
- W4391785412
- Cited by
- 79
- References
- 20
- Citations by year
- 2026: 25 · 2025: 39 · 2024: 14 · 2023: 1
- FWCI
- 12.99
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Engineering Research and Reports (publishedVersion)
- Journal of Engineering Research and Reports (publishedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- Figshare (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
- Figshare (cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Cybersecurity and Information Systems
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- zero-trust architecture, cloud network security, lateral movement, insider threats, identity and access management, machine learning for security, artificial intelligence for security
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