OPTIMAL TRADE-OFF FOR MERKLE TREE TRAVERSAL
Marek Karpiński, Yakov Nekrich
Abstract
Marek Karpiński, Yakov Nekrich
Abstract
In this paper we describe optimal trade-offs between time and space complexity of Merkle tree traversals with their associated authentication paths, improving on the previous results of M. Jakobsson, T. Leighton, S. Micali, and M. Szydlo [Fractal Merkle tree representation and traversal, in: RSA Cryptographers Track, RSA Security Conference, 2003] and M. Szydlo [Merkle tree traversal in log space and time, in: Proc. Eurocrypt, in: LNCS, vol. 3027, 2004, pp. 541-554; Merkle tree traversal in log space and time, Preprint version 2003, available at http://www.szydlo.com]. In particular, we show that our algorithm requires 2logn/log^(^3^)n hash function computations and storage for less than (logn/log^(^3^)n+1)loglogn+2logn hash values, where n is the number of leaves in the Merkle tree. We also prove that these trade-offs are optimal, i.e. there is no algorithm that requires less than O(logn/logt) time and less than O(tlogn/logt) space for any choice of parameter t>=2. Our algorithm could be of special interest in the case when both time and space are limited.
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In this paper we describe optimal trade-offs between time and space complexity of Merkle tree traversals with their associated authentication paths, improving on the previous results of M. Jakobsson, T. Leighton, S. Micali, and M. Szydlo [Fractal Merkle tree representation and traversal, in: RSA Cryptographers Track, RSA Security Conference, 2003] and M. Szydlo [Merkle tree traversal in log space and time, in: Proc. Eurocrypt, in: LNCS, vol. 3027, 2004, pp. 541-554; Merkle tree traversal in log space and time, Preprint version 2003, available at http://www.szydlo.com]. In particular, we show that our algorithm requires 2logn/log^(^3^)n hash function computations and storage for less than (logn/log^(^3^)n+1)loglogn+2logn hash values, where n is the number of leaves in the Merkle tree. We also prove that these trade-offs are optimal, i.e. there is no algorithm that requires less than O(logn/logt) time and less than O(tlogn/logt) space for any choice of parameter t>=2. Our algorithm could be of special interest in the case when both time and space are limited.
Key concepts: Merkle tree, Tree traversal, Tree (set theory), Hash function, Computer science, Mathematics, Cryptography, Algorithm