Cloud computing is a modern computing paradigm that enables users to access data and services remotely via the Internet, supported by scalable data centers. However, outsourcing data to third-party providers raises significant concerns regarding privacy and security. To address these challenges, this paper explores the use of homomorphic encryption (HE), which allows computations to be performed on encrypted data without decryption, preserving confidentiality. We focus on comparing two widely used HE schemes—BFV and CKKS—in terms of their performance during core operations such as encryption, decryption, addition, and multiplication. The results highlight the trade-offs between computational efficiency and encryption strength, offering insights into their suitability for secure cloud-based data processing.

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Performance Analysis of Fully Homomorphic Encryption Scheme for Privacy Protection in Cloud Computing

  • Sunita Godara,
  • Simran Choudhary

摘要

Cloud computing is a modern computing paradigm that enables users to access data and services remotely via the Internet, supported by scalable data centers. However, outsourcing data to third-party providers raises significant concerns regarding privacy and security. To address these challenges, this paper explores the use of homomorphic encryption (HE), which allows computations to be performed on encrypted data without decryption, preserving confidentiality. We focus on comparing two widely used HE schemes—BFV and CKKS—in terms of their performance during core operations such as encryption, decryption, addition, and multiplication. The results highlight the trade-offs between computational efficiency and encryption strength, offering insights into their suitability for secure cloud-based data processing.