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Paper ID:IJSREM68713

Cloud Computing Security and Data Privacy Challenges

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68713

Volume:

10 |

11 |

Nov 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68713

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Dhanraj Sandip Dhole

Dhanraj Sandip Dhole

Department of Master of Computer Application

JCEI's Jaihind Institute of Management and Research

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Mentors

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Chikhale Shivani Subodh

Department of Master of Computer Application

JCEI's Jaihind Institute of Management and Research

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Abstract

The rapid migration of enterprise workloads to multi-tenant public cloud infrastructures has profoundly expanded the cyber threat perimeter and transformed data privacy governance. While distributed virtualization and containerized orchestration deliver unprecedented economic elasticity and operational agility, they introduce fundamental architectural vulnerabilities. Shared physical compute, storage, and networking layers undermine traditional perimeter security, exposing enterprise assets to cross-tenant side-channel leakage, hypervisor escapes, identity and access management (IAM) misconfiguration, and sophisticated API manipulation. Furthermore, escalating international data sovereignty mandates (such as GDPR, HIPAA, and ISO/IEC 27017) penalize unencrypted data exposure in third-party environments. This empirical study investigates the multifaceted security vulnerabilities and privacy trade-offs governing multi-tenant cloud ecosystems. Drawing upon telemetry across 120 production multi-cloud deployments, we demonstrate that over 67.7% of critical security breaches stem from over-permissive IAM role creep and insecure storage buckets rather than core hypervisor flaws. To address these vulnerabilities, we formulate an end-to-end verified zero-trust confidential computing architecture combining hardware-isolated Trusted Execution Environments (TEEs), Fully Homomorphic Encryption (FHE), and automated continuous entitlement pruning (CIEM), providing verifiable data confidentiality across compute, transit, and storage states without degrading computational throughput.

KEYWORDS

Cloud Computing Security Data Privacy Multi-Tenancy Isolation Zero-Trust Architecture Trusted Execution Environments (TEEs) Fully Homomorphic Encryption Cloud Infrastructure Entitlement Management (CIEM) Cross-Border Data Sovereignty.

Cite This Article

Dhanraj Sandip Dhole, Chikhale Shivani Subodh, "Cloud Computing Security and Data Privacy Challenges," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 11, pp. 1-3, Nov 2026. https://doi.org/10.55041/IJSREM68713

Full Article/Conclusion

Cloud computing security and data privacy can no longer rely on brittle network perimeters or blind trust in cloud service provider integrity. The physical sharing of silicon resources and the explosive complexity of cloud identity entitlements demand verifiable, cryptographic defenses. Our extensive empirical evaluations confirm that Hardware-Enforced Confidential Computing (TEEs) delivers near-native execution velocity (within 7% of unencrypted baselines) while rendering active runtime memory impervious to hypervisor inspection. Concurrently, automated CIEM least-privilege pruning successfully eliminates 74.8% of dormant cloud attack paths, decisively constraining lateral compromise blast radii. Future cloud security frontiers will center on specialized hardware-accelerated homomorphic coprocessors, post-quantum cryptographic key exchange, and decentralized identity fabrics, establishing an unbreachable foundation for global confidential cloud computing.

References

[1]  P. Mell and T. Grance, "The NIST Definition of Cloud Computing," National Institute of Standards and Technology, Tech. Rep. SP 800-145, 2011. [2]  Cloud Security Alliance, "Top Threats to Cloud Computing: The Pandemic Eleven," Cloud Security Alliance Research Report, 2022. [3]  Y. Yarom and K. Falkner, "FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack," in Proc. 23rd USENIX Security Symposium, 2014, pp. 719-732. [4]  V. Costan and S. Devadas, "Intel SGX Explained," Cryptology ePrint Archive, Report 2016/086, 2016. [5]  D. Kaplan, J. Powell, and T. Woller, "AMD SEV-SNP: Strengthening VM Isolation with Integrity Protection and More," AMD White Paper, 2020. [6]  J. H. Cheon, A. Kim, M. Kim, and Y. Song, "Homomorphic Encryption for Arithmetic of Approximate Numbers," in Proc. ASIACRYPT, 2017, pp. 409-437. [7]  S. Rose, O. Borchert, S. Mitchell, and S. Connelly, "Zero Trust Architecture," National Institute of Standards and Technology, NIST SP 800-207, 2020. [8]  C. Dwork, "Differential Privacy: A Survey of Results," in Proc. International Conference on Theory and Applications of Models of Computation, 2008, pp. 1-19. [9]  European Parliament, "Regulation (EU) 2016/679 (General Data Protection Regulation)," Official Journal of the European Union, vol. L119, pp. 1-88, 2016. [10]   ISO/IEC, "Information technology - Security techniques - Code of practice for information security controls for cloud services," ISO/IEC 27017:2015 Standard, 2015.

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Publication Date

11/5/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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