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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68713
Volume:
10 |
11 |
Nov 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
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.

Department of Master of Computer Application
JCEI's Jaihind Institute of Management and Research
Department of Master of Computer Application
JCEI's Jaihind Institute of Management and Research
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 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.
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Publication Date
11/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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