Browsing by Author "Ràfols Salvador, Carla"
Now showing items 1-6 of 6
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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 AccessWe 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 AccessWe 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 AccessAttribute-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)
Research report
Open AccessWe 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 AccessWe 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 AccessWe 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” ...