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As public cloud adoption accelerates across industries, safeguarding sensitive data has become a critical priority. Tokenization and encryption have emerged as leading techniques for securing data in cloud environments, yet each approach presents distinct trade-offs in performance, scalability, compliance alignment, and implementation complexity. This review offers a comprehensive examination of tokenization and encryption within public cloud contexts, framed through a risk-based implementation perspective. Drawing on academic studies, industry benchmarks, and regulatory frameworks, the paper compares the strengths and limitations of both methods across structured and unstructured data use cases. Experimental results reveal that tokenization generally outperforms encryption in processing speed and storage efficiency for structured data, while encryption offers superior flexibility and end-to-end confidentiality for broader data types. The paper concludes with a proposed theoretical model for selecting the appropriate technique based on organizational risk posture and compliance needs. Future directions are discussed to address open research gaps in hybrid implementations, performance optimization, and zero-trust architecture integration.
Keywords:
Tokenization, Encryption, Cloud Security, Public Cloud, Risk-Based Implementation, Data Protection, Compliance, GDPR, PCI DSS, Key Management, Cloud Computing, Data Privacy.
Cite Article:
"Tokenization vs Encryption in Public Cloud: A Risk-Based Implementation Guide", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 10, page no.a723-a735, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510075.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator