d-Multiplicative Secret Sharing for Multipartite Adversary Structures

Secret sharing schemes are said to be d-multiplicative if the i-th shares of any d secrets s^(j), j?[d] can be converted into an additive share of the product ?_{j?[d]}s^(j). d-Multiplicative secret sharing is a central building block of multiparty computation protocols with minimum number of rounds which are unconditionally secure against possibly non-threshold adversaries. It is known that d-multiplicative secret sharing is possible if and only if no d forbidden subsets covers the set of all the n players or, equivalently, it is private with respect to an adversary structure of type Q_d. However, the only known method to achieve d-multiplicativity for any adversary structure of type Q_d is based on CNF secret sharing schemes, which are not efficient in general in that the information ratios are exponential in n. In this paper, we explicitly construct a d-multiplicative secret sharing scheme for any ?-partite adversary structure of type Q_d whose information ratio is O(n^{?+1}). Our schemes are applicable to the class of all the ?-partite adversary structures, which is much wider than that of the threshold ones. Furthermore, our schemes achieve information ratios which are polynomial in n if ? is constant and hence are more efficient than CNF schemes. In addition, based on the standard embedding of ?-partite adversary structures into ?^?, we introduce a class of ?-partite adversary structures of type Q_d with good geometric properties and show that there exist more efficient d-multiplicative secret sharing schemes for adversary structures in that family than the above general construction. The family of adversary structures is a natural generalization of that of the threshold ones and includes some adversary structures which arise in real-world scenarios

Evolving Secret Sharing Schemes Based on Polynomial Evaluations and Algebraic Geometry Codes

A secret sharing scheme enables the dealer to share a secret among $n$ parties. A classic secret sharing scheme takes the number $n$ of parties and the secret as the input. If $n$ is not known in advance, the classic secret sharing scheme may fail. Komargodski, Naor, and Yogev \cite[TCC 2016]{KNY16} first proposed the evolving secret sharing scheme that only takes the secret as the input. In the work \cite[TCC 2016]{KNY16}, \cite[TCC 2017]{KC17} and \cite[Eurocrypt 2020]{BO20}, evolving threshold and ramp secret sharing schemes were extensively investigated. However, all of their constructions except for the first construction in \cite{BO20} are inspired by the scheme given in \cite{KNY16}, namely, these schemes rely on the scheme for st-connectivity which allows to generate infinite number of shares. In this work, we revisit evolving secret sharing schemes and present three constructions that take completely different approach. Most of the previous schemes mentioned above have more combinatorial flavor, while our schemes are more algebraic in nature. More precisely speaking, our evolving secret sharing schemes are obtained via either the Shamir secret sharing or arithmetic secret sharing from algebraic geometry codes alone. Our first scheme is an evolving $k$-threshold secret sharing scheme with share size $k^{1+\epsilon}\log t$ for any constant $\epsilon>0$. Thus, our scheme achieves almost the same share size as in \cite[TCC 2016]{KNY16}. Moreover, our scheme is obtained by a direct construction while the scheme in \cite[TCC 2016]{KNY16} that achieves the $(k-1)\log t$ share size is obtained by a recursive construction which makes their structure complicated. Our second scheme is an evolving $k_t$-threshold secret sharing scheme with any sequence $\{k_t\}_{t=1}^\infty$ of threshold values that has share size $t^4$. This scheme improves the share size by $\log t$ given in \cite{KC17} where a dynamic evolving $k_t$-threshold secret sharing scheme with the share size $O(t^4\log t)$ was proposed. In addition, we also show that if the threshold values $k_t$ grow in rate $\lfloor \beta t\rfloor$ for a real $\beta\in(0,1)$, then we have a dynamic evolving threshold secret sharing scheme with the share size $O(t^{4\beta})$. For $\beta<0.25$, this scheme has sub-linear share size which was not known before. Our last scheme is an evolving (\Ga t,\Gb t)-ramp secret sharing scheme with constant share size. One major feature of this ramp scheme is that it is multiplicative as the scheme is also an arithmetic secret sharing scheme. We note that the same technique in \cite{KC17} can also transform all of our schemes to a robust scheme as our scheme is linear.\footnote{We note that by replacing the building block scheme with an arithmetic secret sharing scheme, the evolving (\Ga t,\Gb t)-ramp secret sharing scheme in \cite{BO20} can also be multiplicative. However, their share size is much bigger than ours as each party hold multiple shares.

Asymptotically Good Multiplicative LSSS over Galois Rings and Applications to MPC over Z/ pkZ

We study information-theoretic multiparty computation (MPC) protocols over rings Z/ pkZ that have good asymptotic communication complexity for a large number of players. An important ingredient for such protocols is arithmetic secret sharing, i.e., linear secret-sharing schemes with multiplicative properties. The standard way to obtain these over fields is with a family of linear codes C, such that C, C⊥ and C2 are asymptotically good (strongly multiplicative). For our purposes here it suffices if the square code C2 is not the whole space, i.e., has codimension at least 1 (multiplicative). Our approach is to lift such a family of codes defined over a finite field F to a Galois ring, which is a local ring that has F as its residue field and that contains Z/ pkZ as a subring, and thus enables arithmetic that is compatible with both structures. Although arbitrary lifts preserve the distance and dual distance of a code, as we demonstrate with a counterexample, the multiplicative property is not preserved. We work around this issue by showing a dedicated lift that preserves self-orthogonality (as well as distance and dual distance), for p≥ 3. Self-orthogonal codes are multiplicative, therefore we can use existing results of asymptotically good self-dual codes over fields to obtain arithmetic secret sharing over Galois rings. For p= 2 we obtain multiplicativity by using existing techniques of secret-sharing using both C and C⊥, incurring a constant overhead. As a result, we obtain asymptotically good arithmetic secret-sharing schemes over Galois rings. With these schemes in hand, we extend existing field-based MPC protocols to obtain MPC over Z/ pkZ, in the setting of a submaximal adversary corrupting less than a fraction 1 / 2 - ε of the players, where ε&gt; 0 is arbitrarily small. We consider 3 different corruption models. For passive and active security with abort, our protocols communicate O(n) bits per multiplication. For full security with guaranteed output delivery we use a preprocessing model and get O(n) bits per multiplication in the online phase and O(nlog n) bits per multiplication in the offline phase. Thus, we obtain true linear bit complexities, without the common assumption that the ring size depends on the number of players

Secret Sharing and Secure Computing from Monotone Formulae

We present a construction of log-depth formulae for various threshold functions based on atomic threshold gates of constant size. From this, we build a new family of linear secret sharing schemes that are multiplicative, scale well as the number of players increases and allows to raise a shared value to the characteristic of the underlying field without interaction. Some of these schemes are in addition strongly multiplicative. Our formulas can also be used to construct multiparty protocols from protocols for a constant number of parties. In particular we implement black-box multiparty computation over non-Abelian groups in a way that is much simpler than previously known and we also show how to get a protocol in this setting that is efficient and actively secure against a constant fraction of corrupted parties, a long standing open problem. Finally, we show a negative result on usage of our scheme for pseudorandom secret sharing as defined by Cramer, Damgård and Ishai

Cryptography with Weights: MPC, Encryption and Signatures

The security of several cryptosystems rests on the trust assumption that a certain fraction of the parties are honest. This trust assumption has enabled a diverse of cryptographic applications such as secure multiparty computation, threshold encryption, and threshold signatures. However, current and emerging practical use cases suggest that this paradigm of one-person-one-vote is outdated. In this work, we consider {\em weighted} cryptosystems where every party is assigned a certain weight and the trust assumption is that a certain fraction of the total weight is honest. This setting can be translated to the standard setting (where each party has a unit weight) via virtualization. However, this method is quite expensive, incurring a multiplicative overhead in the weight. We present new weighted cryptosystems with significantly better efficiency. Specifically, our proposed schemes incur only an {\em additive} overhead in weights. \begin{itemize} \item We first present a weighted ramp secret-sharing scheme where the size of the secret share is as short as $O(w)$ (where $w$ corresponds to the weight). In comparison, Shamir\u27s secret sharing with virtualization requires secret shares of size $w\cdot\lambda$, where $\lambda=\log |\mathbb{F}|$ is the security parameter. \item Next, we use our weighted secret-sharing scheme to construct weighted versions of (semi-honest) secure multiparty computation (MPC), threshold encryption, and threshold signatures. All these schemes inherit the efficiency of our secret sharing scheme and incur only an additive overhead in the weights. \end{itemize} Our weighted secret-sharing scheme is based on the Chinese remainder theorem. Interestingly, this secret-sharing scheme is {\em non-linear} and only achieves statistical privacy. These distinct features introduce several technical hurdles in applications to MPC and threshold cryptosystems. We resolve these challenges by developing several new ideas