International Association for Cryptologic Research

International Association
for Cryptologic Research

CryptoDB

Gianluca Brian

Publications

Year
Venue
Title
2020
CRYPTO
Non-Malleable Secret Sharing against Bounded Joint-Tampering Attacks in the Plain Model 📺
Secret sharing enables a dealer to split a secret into a set of shares, in such a way that certain authorized subsets of share holders can reconstruct the secret, whereas all unauthorized subsets cannot. Non-malleable secret sharing (Goyal and Kumar, STOC 2018) additionally requires that, even if the shares have been tampered with, the reconstructed secret is either the original or a completely unrelated one. In this work, we construct non-malleable secret sharing tolerating $p$-time {\em joint-tampering} attacks in the plain model (in the computational setting), where the latter means that, for any $p>0$ fixed {\em a priori}, the attacker can tamper with the same target secret sharing up to $p$ times. In particular, assuming one-to-one one-way functions, we obtain: - A secret sharing scheme for threshold access structures which tolerates joint $p$-time tampering with subsets of the shares of maximal size ({\em i.e.}, matching the privacy threshold of the scheme). This holds in a model where the attacker commits to a partition of the shares into non-overlapping subsets, and keeps tampering jointly with the shares within such a partition (so-called {\em selective partitioning}). - A secret sharing scheme for general access structures which tolerates joint $p$-time tampering with subsets of the shares of size $O(\sqrt{\log n})$, where $n$ is the number of parties. This holds in a stronger model where the attacker is allowed to adaptively change the partition within each tampering query, under the restriction that once a subset of the shares has been tampered with jointly, that subset is always either tampered jointly or not modified by other tampering queries (so-called {\em semi-adaptive partitioning}). At the heart of our result for selective partitioning lies a new technique showing that every one-time {\em statistically} non-malleable secret sharing against joint tampering is in fact {\em leakage-resilient} non-malleable ({\em i.e.},\ the attacker can leak jointly from the shares prior to tampering). We believe this may be of independent interest, and in fact we show it implies lower bounds on the share size and randomness complexity of statistically non-malleable secret sharing against {\em independent} tampering.
2019
TCC
Continuously Non-malleable Secret Sharing for General Access Structures
We study leakage-resilient continuously non-malleable secret sharing, as recently introduced by Faonio and Venturi (CRYPTO 2019). In this setting, an attacker can continuously tamper and leak from a target secret sharing of some message, with the goal of producing a modified set of shares that reconstructs to a message related to the originally shared value. Our contributions are two fold. In the plain model, assuming one-to-one one-way functions, we show how to obtain noisy-leakage-resilient continuous non-malleability for arbitrary access structures, in case the attacker can continuously leak from and tamper with all of the shares independently.In the common reference string model, we show how to obtain a new flavor of security which we dub bounded-leakage-resilient continuous non-malleability under selective $$k$$-partitioning. In this model, the attacker is allowed to partition the target $$n$$ shares into any number of non-overlapping blocks of maximal size $$k$$, and then can continuously leak from and tamper with the shares within each block jointly. Our construction works for arbitrary access structures, and assuming (doubly enhanced) trapdoor permutations and collision-resistant hash functions, we achieve a concrete instantiation for $$k\in O(\log n)$$. Prior to our work, there was no secret sharing scheme achieving continuous non-malleability against joint tampering, and the only known scheme for independent tampering was tailored to threshold access structures.