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Functional encryption for set intersection in the multi-client setting.

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This summary is machine-generated.

This study introduces functional encryption for set intersection (FE-SI) in multi-client systems. New schemes enable secure cloud-based set intersection computation with time-limited access for enhanced data privacy.

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Bilinear mapsContact tracingFunctional encryptionMulti-client settingPrivate set intersection

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Area of Science:

  • Cryptography
  • Computer Science
  • Information Security

Background:

  • Multi-client environments require secure methods for data sharing and computation.
  • Existing functional encryption schemes may not be directly applicable to multi-client set intersection.
  • Secure computation of set intersections over encrypted data is crucial for privacy-preserving data analysis.

Purpose of the Study:

  • To define and propose efficient functional encryption for set intersection (FE-SI) schemes tailored for multi-client settings.
  • To introduce time-constrained keys for FE-SI, limiting function key validity to a specific period.
  • To prove the static security of the proposed FE-SI schemes and the validity of underlying assumptions.

Main Methods:

  • Definition of a novel multi-client FE-SI concept.
  • Development of an FE-SI scheme using asymmetric bilinear groups, with analysis of ciphertext size and decryption complexity.
  • Construction of a time-constrained FE-SI scheme and security proofs under newly introduced assumptions.
  • Validation of the introduced assumptions within the general group model.

Main Results:

  • An efficient multi-client FE-SI scheme is proposed, featuring compact ciphertexts and efficient decryption.
  • A novel FE-SI scheme with time-constrained function keys is presented, enhancing access control.
  • Static security for both schemes is proven under novel, validated assumptions.

Conclusions:

  • The proposed FE-SI schemes offer efficient and secure solutions for multi-client set intersection.
  • Time-constrained keys add a valuable layer of security and control for functional encryption.
  • The validated assumptions provide confidence in the security guarantees of the developed schemes.