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Attribute-Based Verifiable Conditional Proxy Re-Encryption Scheme.

Yongli Tang1, Minglu Jin1, Hui Meng1

  • 1College of Software, Henan Polytechnic University, Jiaozuo 454000, China.

Entropy (Basel, Switzerland)
|May 27, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme to detect unreliable calculations by semi-honest agents in cloud computing. The new method ensures secure data handling by verifying re-encrypted data, enhancing agent accountability.

Keywords:
homomorphic signaturelearning with errorsproxy re-encryptionre-encryption verifiable

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Area of Science:

  • Cloud Computing Security
  • Cryptography
  • Data Privacy

Background:

  • Semi-honest agents in cloud computing may perform unreliable computations.
  • Existing attribute-based conditional proxy re-encryption (AB-CPRE) algorithms struggle to detect agent misconduct.
  • Need for robust mechanisms to ensure data integrity and agent accountability in cloud environments.

Purpose of the Study:

  • To propose a novel attribute-based verifiable conditional proxy re-encryption (AB-VCPRE) scheme.
  • To address the limitations of current AB-CPRE algorithms in detecting agent misbehavior.
  • To enhance the security and reliability of data processing in cloud computing.

Main Methods:

  • Development of an AB-VCPRE scheme incorporating a homomorphic signature.
  • Implementation of a verification process for re-encrypted ciphertexts by a verification server.
  • Security analysis in the standard model and proof of CPA security under the Learning With Errors (LWE) assumption.

Main Results:

  • The proposed AB-VCPRE scheme effectively detects illegal activities of agents.
  • The scheme ensures robustness, allowing verification servers to confirm correct ciphertext conversion.
  • The reliability and security of the AB-VCPRE scheme are validated in the standard model.

Conclusions:

  • The AB-VCPRE scheme provides a robust solution for detecting unreliable agent computations in cloud environments.
  • The integration of homomorphic signatures enhances accountability and data integrity.
  • The scheme offers provable security guarantees, making it suitable for sensitive cloud applications.