Secure Certificate-Based Multi-Party Computation For Privacy Preservation in Cloud Data Security

Authors

  • M.B.C. Asha Vani
  • S. Venkatesan
  • M. Ramakrishnan

Keywords:

Cloud Computing, Data Security, Privacy Preservation, Certificate Authority, and Data Auditing.

Abstract

Cloud computing security and privacy maintenance have emerged as essential factors since cloud services rely more heavily now while exposing users to serious risks concerning sensitive information abuse and unauthorized access and data leakage incidents. Privacy protection measures in cloud systems need to be reliable because massive business and personal information demand protection which ensures confidentiality and builds user trust. Today's privacy-preserving solutions encounter three main problems that involve substantial computational demands as well as scale-oriented limitations and multiple privacy element control capabilities. The proposed paper presents Secure Certificate-based Multi-party Computation (SecuraMPC) as a novel privacy-preserving solution that enhances security performance no matter how challenging the situation becomes. Users can protect their data privacy throughout cloud systems through an efficient method which merges cryptography and multiple parties across distributed computing. SecuraMPC establishes an all-inclusive privacy solution which protects data confidentiality while maintaining integrity and access control and auditing operations during execution time. The SecuraMPC system follows several operational steps which secure processed sensitive data by limiting access to authorized users during its protected execution period. Secure computation models with certificate-based encryption ensure high privacy protection while maintaining acceptable processing speed in the proposed approach. The performance abilities of SecuraMPC exceed traditional techniques like PKI, IBE, AB, HE and SMC because it enables better data protection together with faster processing and minimal information loss. The actual implementation of SecuraMPC demonstrates its superiority over traditional privacy methods through diverse metrics from cloud-based tests that demonstrate advanced data security together with inspection capabilities.

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Published

2026-08-01

How to Cite

Vani, M. A., Venkatesan, S., & Ramakrishnan, M. (2026). Secure Certificate-Based Multi-Party Computation For Privacy Preservation in Cloud Data Security. International Journal of Artificial Intelligence and Machine Learning, 6(8s), 1410–1423. Retrieved from https://svedbergopen.com/index.php/ijaiml/article/view/3030