Now showing items 1-6 of 6

    • An algebraic framework for Diffie-Hellman assumptions 

      Escala Ribas, Alex; Herold, Gottfried; Kiltz, Eike; Ràfols Salvador, Carla; Villar Santos, Jorge Luis (2017-01)
      Article
      Open Access
      We put forward a new algebraic framework to generalize and analyze Di e-Hellman like Decisional Assumptions which allows us to argue about security and applications by considering only algebraic properties. Our D`;k-MDDH ...
    • An algebraic framework for Diffie–Hellman assumptions 

      Escala Ribas, Alex; Herold, Gottfried; Kiltz, Eike; Ràfols Salvador, Carla; Villar Santos, Jorge Luis (2015-10-22)
      Article
      Open Access
      We put forward a new algebraic framework to generalize and analyze Diffie-Hellman like Decisional Assumptions which allows us to argue about security and applications by considering only algebraic properties. Our D`,k-MDDH ...
    • Constant size ciphertexts in threshold attribute-based encryption 

      Herranz Sotoca, Javier; Laguillaumie, Fabien; Ràfols Salvador, Carla (Springer Verlag, 2010)
      Conference report
      Open Access
      Attribute-based cryptography has emerged in the last years as a promising primitive for digital security. For instance, it provides good solutions to the problem of anonymous access control. In a ciphertextpolicy attribute-based ...
    • Matrix computational assumptions in multilinear groups 

      Morillo Bosch, M. Paz; Ràfols Salvador, Carla; Villar Santos, Jorge Luis (2015-04-20)
      External research report
      Open Access
      We put forward a new family of computational assumptions, the Kernel Matrix Di e- Hellman Assumption. Given some matrix A sampled from some distribution D `;k , the kernel as- sumption says that it is hard to nd \in the exponent
    • The Kernel Matrix Diffie-Hellman Assumption 

      Morillo Bosch, M. Paz; Ràfols Salvador, Carla; Villar Santos, Jorge Luis (2016-12)
      Article
      Open Access
      We put forward a new family of computational assumptions, the Kernel Matrix Diffie-Hellman Assumption. Given some matrix A sampled from some distribution D, the kernel assumption says that it is hard to find “in the exponent” ...
    • The Kernel Matrix Diffie-Hellman assumption 

      Morillo Bosch, M. Paz; Ràfols Salvador, Carla; Villar Santos, Jorge Luis (Springer, 2016)
      Conference lecture
      Open Access
      We put forward a new family of computational assumptions, the Kernel Matrix Diffie-Hellman Assumption. Given some matrix A sampled from some distribution D, the kernel assumption says that it is hard to find “in the exponent” ...