Volume 1 Issue 1 | 2024 | View PDF
Paper Id: IJMSM-V1I1P106
doi: 10.71141/30485037/V1I1P106

Privacy Preservation in the Cloud: A Comprehensive Review of Encryption and Anonymization Methods

Avinash Attipalli, Raghuvaran Kendyala, Jagan Kurma, Jaya Vardhani Mamidala, Varun Bitkuri, Sunil Jacob Enokkaren

Citation:
Avinash Attipalli, Raghuvaran Kendyala, Jagan Kurma, Jaya Vardhani Mamidala, Varun Bitkuri, Sunil Jacob Enokkaren, "Privacy Preservation in the Cloud: A Comprehensive Review of Encryption and Anonymization Methods" International Journal of Multidisciplinary on Science and Management, Vol. 1, No. 1, pp. 35-44, 2024.

Abstract:
Cloud computing offers scalable, pay-per-use services without requiring large infrastructure expenditures, it has completely changed how individuals and organizations access and manage massive computer resources. However, because cloud environments are open, shared, and dispersed, they present significant privacy and security concerns, including vulnerabilities in multi-tenant systems, data breaches, and unauthorized access. To safeguard sensitive data while maintaining its usefulness, this study examines privacy-preserving strategies, including homomorphic encryption, attribute-based encryption, and methods for data anonymization such as character masking, randomization, and k-anonymity. It also examines emerging solutions, such as searchable encryption and hybrid models that combine cryptographic and non-cryptographic approaches, to enhance data confidentiality and access control. The study highlights the limitations of current methods, such as computational overhead in encryption and re-identification risks in anonymization. It proposes future research directions, including AI-driven threat detection, quantum-resistant algorithms, and blockchain-based trust models. These advancements aim to address evolving security threats and ensure trustworthy, user-centric cloud computing ecosystems.

Keywords: Cloud Computing, Data Privacy, Data Security, Homomorphic Encryption, Attribute-Based Encryption, Data Anonymization, Character Masking, Access Control, Searchable Encryption, Privacy-Preserving Techniques, Blockchain, Quantum Computing.

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