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Paper 2020/461

A Polynomial-Time Algorithm for Solving the Hidden Subset Sum Problem

Jean-Sébastien Coron and Agnese Gini

Abstract

At Crypto ’99, Nguyen and Stern described a lattice based algorithm for solving the hidden subset sum problem, a variant of the classical subset sum problem where the n weights are also hidden. While the Nguyen-Stern algorithm works quite well in practice for moderate values of n, we argue that its complexity is actually exponential in n; namely in the final step one must recover a very short basis of a n-dimensional lattice, which takes exponential-time in n, as one must apply BKZ reduction with increasingly large block-sizes. In this paper, we describe a variant of the Nguyen-Stern algorithm that works in polynomial-time. The first step is the same orthogonal lattice attack with LLL as in the original algorithm. In the second step, instead of applying BKZ, we use a multivariate technique that recovers the short lattice vectors and finally the hidden secrets in polynomial time. Our algorithm works quite well in practice, as we can reach n=250 in a few hours on a single PC.

Metadata
Available format(s)
PDF
Category
Public-key cryptography
Publication info
Preprint. MINOR revision.
Keywords
Subset-sum problemlattice cryptanalysisLLL.
Contact author(s)
jscoron @ gmail com,agnese gini @ uni lu
History
2021-07-28: last of 3 revisions
2020-04-24: received
See all versions
Short URL
https://ia.cr/2020/461
License
Creative Commons Attribution
CC BY
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