2016
DOI: 10.1007/978-3-662-53887-6_27
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The Kernel Matrix Diffie-Hellman Assumption

Abstract: Abstract. 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" a nonzero vector in the kernel of A . This family is a natural computational analogue of the Matrix Decisional Diffie-Hellman Assumption (MDDH), proposed by Escala et al. As such it allows to extend the advantages of their algebraic framework to computational assumptions. The k-… Show more

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Cited by 42 publications
(31 citation statements)
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“…Groth and Lu proved the generic hardness of the natural translation of this assumption to symmetric groups [19]. We observe that this assumption corresponds to a kernel assumption [25], the Q m -KerMDH assumption in symmetric groups.…”
Section: Hardness Assumptionsmentioning
confidence: 87%
See 1 more Smart Citation
“…Groth and Lu proved the generic hardness of the natural translation of this assumption to symmetric groups [19]. We observe that this assumption corresponds to a kernel assumption [25], the Q m -KerMDH assumption in symmetric groups.…”
Section: Hardness Assumptionsmentioning
confidence: 87%
“…Definition 2 (Kernel Diffie-Hellman Assumption in G [25]). Let gk ← Gen a (1 λ ) and D ,k a distribution over Z ×k q .…”
Section: Hardness Assumptionsmentioning
confidence: 99%
“…We stress that our aim has been to find concrete and precise reductions and prove separations among the different classes of assumptions which encompass a significant portion of existing assumptions in the literature. Thus, our approach is different from previous works such as [BBG05,Boy08,EHK + 13,MRV16] which aimed at defining algebraic frameworks or templates in generic groups to capture some families of assumptions. The closest work to ours is Abdalla et al [ABP15], which provided an Uber assumption for decisional assumptions in cyclic groups (without a bilinear map, which invalidates many decisional assumptions).…”
Section: Introductionmentioning
confidence: 95%
“…The Kernel Diffie-Hellman Assumption [32] says one cannot find a non-zero vector in one of the groups which is in the co-kernel of A. We also use a generalization in bilinear groups which says one cannot find a pair of vectors in G k+1 1 × G k+1 2 such that the difference of the vector of their discrete logarithms is in the co-kernel of A.…”
Section: Cryptographic Assumptionsmentioning
confidence: 99%