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Efficient public trace and revoke from standard assumptions

  • Shweta Agrawal
  • , Sanjay Bhattacherjee
  • , Duong Hieu Phan
  • , Damien Stehle
  • , Shota Yamada
  • Indian Institute of Technology Madras
  • Indian Statistical Institute, Kolkata
  • XLIM Institut de Recherche
  • Ecole Normale Supérieure de Lyon
  • National Institute of Advanced Industrial Science and Technology

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38 Citations (Scopus)

Résumé

We provide efficient constructions for trace-and-revoke systems with public traceability in the black-box confirmation model. Our constructions achieve adaptive security, are based on standard assumptions and achieve significant efficiency gains compared to previous constructions. Our constructions rely on a generic transformation from inner product functional encryption (IPFE) schemes to traceand-revoke systems. Our transformation requires the underlying IPFE scheme to only satisfy a very weak notion of security-the attacker may only request a bounded number of random keys-in contrast to the standard notion of security where she may request an unbounded number of arbitrarily chosen keys. We exploit the much weaker security model to provide a new construction for bounded collusion and random key IPFE from the learning with errors assumption (LWE), which enjoys improved efficiency compared to the scheme of Agrawal et al. [CRYPTO'16]. Together with IPFE schemes from Agrawal et al., we obtain trace and revoke from LWE, Decision Diffie Hellman and Decision Composite Residuosity.

langue originaleAnglais
titreCCS 2017 - Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
EditeurAssociation for Computing Machinery
Pages2277-2293
Nombre de pages17
ISBN (Electronique)9781450349468
Les DOIs
étatPublié - 30 oct. 2017
Modification externeOui
Evénement24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017 - Dallas, États-Unis
Durée: 30 oct. 20173 nov. 2017

Série de publications

NomProceedings of the ACM Conference on Computer and Communications Security
ISSN (imprimé)1543-7221

Une conférence

Une conférence24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017
Pays/TerritoireÉtats-Unis
La villeDallas
période30/10/173/11/17

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