The Kernel Matrix Diffie Hellman Assumption

The Kernel Matrix Diffie Hellman Assumption

Explore the Kernel Matrix Diffie Hellman Assumption in this 30-minute conference talk presented by Paz Morillo, Carla Ràfols, and Jorge Luis Villar at Asiacrypt 2016. Delve into topics such as additive notation, subspace membership problems, matrix distributions, and Matrix Decision Diffie-Hellman problems. Examine flexible computational matrix problems, KerMDH examples, and the power of KerMDH. Investigate the hardness of KerDH, families with increasing hardness, and black-box separations, including reduction splitting and query suppression techniques.