International Association
for Cryptologic Research

A set of unacquainted parties, some of which may misbehave, communicate with each other over an unauthenticated and unreliable gossip network. They wish to jointly replicate a state machine $\Pi$ so that each one of them has fair access to its operation. Specifically, assuming parties' computational power is measured as queries to an oracle machine $H(\cdot)$, parties can issue symbols to the state machine in proportion to their queries to $H(\cdot)$ at a given fixed rate. Moreover, if such access to the state machine is provided continuously in expected constant time installments we qualify it as fast fairness. A state machine replication (SMR) protocol in this permissionless setting is expected to offer consistency across parties and reliably process all symbols that honest parties wish to add to it in a timely manner despite continuously fluctuating participation and in the presence of an adversary who commands less than half of the total queries to $H(\cdot)$ per unit of time. A number of protocols strive to offer the above guarantee together with fast settlement --- notably, the Bitcoin blockchain offers a protocol that settles against Byzantine adversaries in polylogarithmic rounds, while fairness only holds in a fail-stop adversarial model (due to the fact that Byzantine behavior can bias access to the state machine in the adversary's favor). In this work, we put forth the first Byzantine-resilient protocol solving SMR in this setting with both expected-constant-time settlement and fast fairness. Furthermore, our protocol is self-sufficient in the sense of performing its own time keeping while tolerating an adaptively fluctuating set of parties.

In the traditional consensus problem (aka Byzantine agreement), parties are required to agree on a common value despite the malicious behavior of some of them, subject to the condition that if all the honest parties start the execution with the same value, then that should be the outcome. This problem has been extensively studied by both the distributed computing and cryptographic protocols communities. With the advent of blockchains, whose main application---a distributed ledger---essentially requires that miners agree on their views, new techniques have been proposed to solve the problem, and in particular in so-called ``permissionless'' environments, where parties are not authenticated or have access to point-to-point channels and, further, may come and go as they please. So far, the fastest way to achieve consensus in the proof-of-work (PoW)-based setting of Bitcoin, takes O(polylog \kappa) number of rounds, where \kappa is the security parameter. We present the first protocol in this setting that requires expected-constant number of rounds. Furthermore, we show how to apply securely sequential composition in order to yield a fast distributed ledger protocol that settles all transactions in expected-constant time. Our result is based on a novel instantiation of ``m-for-1 PoWs'' on parallel chains that facilitates our basic building block, Chain-King Consensus. The techniques we use, via parallel chains, to port classical protocol design elements (such as Phase-King Consensus, super-phase sequential composition and others) into the permissionless setting may be of independent interest.

We investigate the feasibility of {\em permissionless} consensus (aka Byzantine agreement) under standard assumptions. A number of protocols have been proposed to achieve permissionless consensus, most notably based on the Bitcoin protocol; however, to date no protocol is known that can be provably instantiated outside of the random oracle model. In this work, we take the first steps towards achieving permissionless consensus in the standard model. In particular, we demonstrate that worst-case conjectures in fine-grained complexity, in particular the orthogonal vectors conjecture (implied by the Strong Exponential Time Hypothesis), imply permissionless consensus in the random beacon model---a setting where a fresh random value is delivered to all parties at regular intervals. This gives a remarkable win-win result: \emph{either permissionless consensus exists relative to a random beacon, or there are non-trivial worst-case algorithmic speed-ups for a host of natural algorithmic problems} (including $\mathsf{SAT}$). Our protocol achieves resilience against adversaries that control an inverse-polynomial fraction of the honest computational power, i.e.,~adversarial power $A=T^{1-\epsilon}$ for some constant $\epsilon>0$, where $T$ denotes the honest computational power. This relatively low threshold is a byproduct of the slack in the fine-grained complexity conjectures. One technical highlight is the construction of a \emph{Seeded Proof of Work}: a Proof of Work where many (correlated) challenges can be derived from a single short \emph{public} seed, and yet still no non-trivial amortization is possible.

In this work we first examine the hardness of solving various search problems by hybrid quantum-classical strategies, namely, by algorithms that have both quantum and classical capabilities. We then construct a hybrid quantum-classical search algorithm and analyze its success probability. Regarding the former, for search problems that are allowed to have multiple solutions and in which the input is sampled according to arbitrary distributions we establish their hybrid quantum-classical query complexities—i.e., given a fixed number of classical and quantum queries, determine what is the probability of solving the search task. At a technical level, our results generalize the framework for hybrid quantum-classical search algorithms recently proposed by Rosmanis. Namely, for an arbitrary distribution D on Boolean functions, the probability that an algorithm equipped with t_c classical queries and t_q quantum queries succeeds in finding a preimage of 1 for a function sampled from D is at most v_D(2sqrt(t_c) + 2t_q + 1)^2, where v_D captures the average (over D) fraction of preimages of 1. Regarding our second contribution, we design a hybrid algorithm which first spends all of its classical queries and in the second stage runs a “modified Grover” in which the initial state depends on the target distribution D. We then show how to analyze its success probability for arbitrary target distributions and, importantly, its optimality for the uniform and the Bernoulli distribution cases. As applications of our hardness results, we first revisit and generalize the formal security treatment of the Bitcoin protocol called the Bitcoin backbone [Eurocrypt 2015], to a setting where the adversary has both quantum and classical capabilities, presenting a new hybrid honest majority condition necessary for the protocol to properly operate. Secondly, we re-examine the generic security of hash functions [PKC 2016] against quantum-classical hybrid adversaries.

We give a tighter lifting theorem for security games in the quantum random oracle model. At the core of our main result lies a novel measure-and-reprogram framework that we call coherent reprogramming. This framework gives a tighter lifting theorem for query complexity problems, that only requires purely classical reasoning. As direct applications of our lifting theorem, we first provide a quantum direct product theorem in the average case --- i.e., an enabling tool to determine the hardness of solving multi-instance security games. This allows us to derive in a straightforward manner the hardness of various security games, for example (i) the non-uniform hardness of salted games, (ii) the hardness of specific cryptographic tasks such as the multiple instance version of one-wayness and collision-resistance, and (iii) uniform or non-uniform hardness of many other games.

The problem of reliable/secure all-to-all communication over low-degree networks has been essential for communication-local (CL) n-party MPC (i.e., MPC protocols where every party directly communicates only with a few, typically polylogarithmic in n, parties) and more recently for com- munication over ad hoc networks, which are used in blockchain protocols. However, a limited number of adaptively secure solutions exist, and they all make relatively strong assumptions on the ability of parties to act in some specific manner before the adversary can corrupt them. Two such assumptions were made in the work of Chandran et al. [ITCS ’15]---parties can (a) multisend messages to several receivers simultaneously; and (b) securely erase the message and the identities of the receivers, before the adversary gets a chance to corrupt the sender (even if a receiver is corrupted). A natural question to ask is: Are these assumptions necessary for adaptively secure CL MPC? In this paper, we characterize the feasibility landscape for all-to-all reliable message transmission (RMT) under these two assumptions, and use this characterization to obtain (asymptotically) tight feasibility results for CL MPC. – First, we prove a strong impossibility result for a broad class of RMT protocols, termed here store-and-forward protocols, which includes all known communication protocols for CL MPC from standard cryptographic assumptions. Concretely, we show that no such protocol with a certain expansion rate can tolerate a constant fraction of parties being corrupted. – Next, under the assumption of only a PKI, we show that assuming secure erasures, we can obtain an RMT protocol between all pairs of parties with polylogarithmic locality (even without assuming multisend) for the honest majority setting. We complement this result by showing a negative result for the setting of dishonest majority. – Finally, and somewhat surprisingly, under stronger assumptions (i.e., trapdoor permutations with a reverse domain sampler, and compact and malicious circuit-private FHE), we construct a polylogarithmic-locality all-to-one RMT protocol, which is adaptively secure and tolerates any constant fraction of corruptions, without assuming either secure erasures or multisend. This last result uses a novel combination of adaptively secure (e.g., non-committing) encryption and (static) FHE to bypass the impossibility of compact adaptively secure FHE by Katz et al. [PKC’13], which we believe may be of independent interest. Intriguingly, even such assumptions do not allow reduc- ing all-to-all RMT to all-to-one RMT (a reduction which is trivial in the non-CL setting). Still, we can implement what we call sublinear output-set RMT (SOS-RMT for short). We show how SOS- RMT can be used for SOS-MPC under the known bounds for feasibility of MPC in the standard (i.e., non-CL) setting assuming, in addition to SOS-RMT, an anonymous PKI.

The advent of blockchain protocols has reignited the interest in adaptively secure broadcast; it is by now well understood that broadcasting over a diffusion network allows an adaptive adversary to corrupt the sender depending on the message it attempts to send and change it. Hirt and Zikas [Eurocrypt '10] proved that this is an inherent limitation of broadcast in the simulation-based setting---i.e., this task is impossible against an adaptive adversary corrupting a majority of the parties (a task that is achievable against a static adversary). The contributions of this paper are two-fold. First, we show that, contrary to previous perception, the above limitation of adaptively secure broadcast is not an artifact of simulation-based security, but rather an inherent issue of adaptive security. In particular, we show that: (1) it also applies to the property-based broadcast definition adapted for adaptive adversaries, and (2) unlike other impossibilities in adaptive security, this impossibility cannot be circumvented by adding a programmable random oracle, in neither setting, property-based or simulation-based. Second, we turn to the resource-restricted cryptography (RRC) paradigm [Garay et al., Eurocrypt '20], which has proven useful in circumventing impossibility results, and ask whether it also affects the above negative result. We answer this question in the affirmative, by showing that time-lock puzzles (TLPs)---which can be viewed as an instance of RRC---indeed allow for achieving the property-based definition and circumvent the impossibility of adaptively secure broadcast. The natural question is then, do TLPs also allow for simulation-based adaptively secure broadcast against corrupted majorities? We answer this question in the negative. However, we show that a positive result can be achieved via a non-committing analogue of TLPs in the programmable random-oracle model. Importantly, and as a contribution of independent interest, we also present the first (limited) composition theorem in the resource-restricted setting, which is needed for the complexity-based, non-idealized treatment of TLPs in the context of other protocols.

It is well known that without randomization, Byzantine agreement (BA) requires a linear number of rounds in the synchronous setting, while it is flat out impossible in the asynchronous setting. The primitive which allows to bypass the above limitation is known as oblivious common coin (OCC). It allows parties to agree with constant probability on a random coin, where agreement is oblivious, i.e., players are not aware whether or not agreement has been achieved. The starting point of our work is the observation that no known protocol exists for information-theoretic multi-valued OCC with optimal resiliency in the asynchronous setting (with eventual message delivery). This apparent hole in the literature is particularly problematic, as multi-valued OCC is implicitly or explicitly used in several constructions. In this paper, we present the first information-theoretic multi-valued OCC protocol in the asynchronous setting with optimal resiliency, i.e., tolerating t<n/3 corruptions, thereby filling this important gap. Further, our protocol efficiently implements OCC with an exponential-size domain, a property which is not even achieved by known constructions in the simpler, synchronous setting. We then turn to the problem of round-preserving parallel composition of asynchronous BA. A protocol for this task was proposed by Ben-Or and El-Yaniv [Distributed Computing ’03]. Their construction, however, is flawed in several ways. Thus, as a second contribution, we provide a simpler, more modular protocol for the above task. Finally, and as a contribution of independent interest, we provide proofs in Canetti's Universal Composability framework; this makes our work the first one offering composability guarantees, which are important as BA is a core building block of secure multi-party computation protocols.

The permissionless clock synchronization problem asks how it is possible for a population of parties to maintain a system-wide synchronized clock, while their participation rate fluctuates —possibly very widely— over time. The underlying assumption is that parties experience the passage of time with roughly the same speed, but however they may disengage and engage with the protocol following arbitrary (and even chosen adversarially) participation patterns. This (classical) problem has received renewed attention due to the advent of blockchain protocols, and recently it has been solved in the setting of proof of stake, i.e., when parties are assumed to have access to a trusted PKI setup [Badertscher et al., Eurocrypt ’21]. In this work, we present the first proof-of-work (PoW)-based permissionless clock synchro- nization protocol. Our construction relies on an honest majority of computational power that, for the first time, is described in a fine-grain timing model that does not utilize a global clock that exports the current time to all parties. As a secondary result of independent interest, our protocol gives rise to the first PoW-based ledger consensus protocol that does not rely on an external clock for the time-stamping of transactions and adjustment of the PoW difficulty.

An important benchmark for multi-party computation protocols (MPC) is their round complexity . For several important MPC tasks, such as broadcast, (tight) lower bounds on the round complexity are known. However, some of these lower bounds can be circumvented when the termination round of every party is not a priori known, and simultaneous termination is not guaranteed. Protocols with this property are called probabilistic-termination ( PT ) protocols. Running PT protocols in parallel affects the round complexity of the resulting protocol in somewhat unexpected ways. For instance, an execution of m protocols with constant expected round complexity might take $$O(\log m)$$ O ( log m ) rounds to complete. In a seminal work, Ben-Or and El-Yaniv (Distributed Computing ‘03) developed a technique for a parallel execution of arbitrarily many broadcast protocols, while preserving expected round complexity. More recently, Cohen et al.  (CRYPTO ‘16) devised a framework for universal composition of PT protocols, and provided the first composable parallel-broadcast protocol with a simulation-based proof. These constructions crucially rely on the fact that broadcast is “privacy-free,” and do not generalize to arbitrary protocols in a straightforward way. This raises the question of whether it is possible to execute arbitrary PT protocols in parallel, without increasing the round complexity. In this paper we tackle this question and provide both feasibility and infeasibility results. We construct a round-preserving protocol compiler, tolerating any dishonest minority of actively corrupted parties, that compiles arbitrary protocols into a protocol realizing their parallel composition, while having a black-box access to the underlying protocols . Furthermore, we prove that the same cannot be achieved, using known techniques, given only black-box access to the functionalities realized by the protocols, unless merely security against semi-honest corruptions is required, for which case we provide a protocol. To prove our results, we utilize the language and results by Cohen et al. , which we extend to capture parallel composition and reactive functionalities, and to handle the case of an honest majority.

Traditional bounds on synchronous Byzantine agreement (BA) and secure multi-party computation (MPC) establish that in absence of a private correlated-randomness setup, such as a PKI, protocols can tolerate up to $t<n/3$ of the parties being malicious. The introduction of ``Nakamoto style'' consensus, based on Proof-of-Work (PoW) blockchains, put forth a somewhat different flavor of BA, showing that even a majority of corrupted parties can be tolerated as long as the majority of the computation resources remain at honest hands. This assumption on honest majority of some resource was also extended to other resources such as stake, space, etc., upon which blockchains achieving Nakamoto-style consensus were built that violated the $t<n/3$ bound in terms of number of party corruptions. The above state of affairs begs the question of whether the seeming mismatch is due to different goals and models, or whether the resource-restricting paradigm can be generically used to circumvent the $n/3$ lower bound. In this work we study this question and formally demonstrate how the above paradigm changes the rules of the game in cryptographic definitions. First, we abstract the core properties that the resource-restricting paradigm offers by means of a functionality {\em wrapper}, in the UC framework, which when applied to a standard point-to-point network restricts the ability (of the adversary) to send new messages. We show that such a wrapped network can be implemented using the resource-restricting paradigm---concretely, using PoWs and honest majority of computing power---and that the traditional $t<n/3$ impossibility results fail when the parties have access to such a network. Our construction is in the {\em fresh} Common Reference String (CRS) model---i.e., it assumes a CRS which becomes available to the parties at the same time as to the adversary. We then present constructions for BA and MPC, which given access to such a network tolerate $t<n/2$ corruptions without assuming a private correlated randomness setup. We also show how to remove the freshness assumption from the CRS by leveraging the power of a random oracle. Our MPC protocol achieves the standard notion of MPC security, where parties might have dedicated roles, as is for example the case in Oblivious Transfer protocols. This is in contrast to existing solutions basing MPC on PoWs, which associate roles to pseudonyms but do not link these pseudonyms with the actual parties.

An intensive effort by the cryptographic community to minimize the round complexity of secure multi-party computation (MPC) has recently led to optimal two-round protocols from minimal assumptions. Most of the proposed solutions, however, make use of a broadcast channel in every round, and it is unclear if the broadcast channel can be replaced by standard point-to-point communication in a round-preserving manner, and if so, at what cost on the resulting security. In this work, we provide a complete characterization of the trade-off between number of broadcast rounds and achievable security level for two-round MPC tolerating arbitrarily many active corruptions. Specifically, we consider all possible combinations of broadcast and point-to-point rounds against the three standard levels of security for maliciously se- cure MPC protocols, namely, security with identifiable, unanimous, and selective abort. For each of these notions and each combination of broadcast and point-to-point rounds, we provide either a tight feasibility or an infeasibility result of two-round MPC. Our feasibility results hold assuming two-round OT in the CRS model, whereas our impossibility results hold given any correlated randomness.

The formalization of concrete, non-idealized hash function properties sufficient to prove the security of Bitcoin and related protocols has been elusive, as all previous security analyses of blockchain protocols have been performed in the random oracle model. In this paper we identify three such properties, and then construct a blockchain protocol whose security can be reduced to them in the standard model assuming a common reference string (CRS). The three properties are: {\em collision resistance}, {\em computational randomness extraction} and {\em iterated hardness}. While the first two properties have been extensively studied, iterated hardness has been empirically stress-tested since the rise of Bitcoin; in fact, as we demonstrate in this paper, any attack against it (assuming the other two properties hold) results in an attack against Bitcoin. In addition, iterated hardness puts forth a new class of search problems which we term {\em iterated search problems} (ISP). ISPs enable the concise and modular specification of blockchain protocols, and may be of independent interest.

When analyzing the round complexity of multi-party protocols, one often overlooks the fact that underlying resources, such as a broadcast channel, can by themselves be expensive to implement. For example, it is well known that it is impossible to implement a broadcast channel by a (deterministic) protocol in a sublinear (in the number of corrupted parties) number of rounds. The seminal works of Rabin and Ben-Or from the early 1980s demonstrated that limitations as the above can be overcome by using randomization and allowing parties to terminate at different rounds, igniting the study of protocols over point-to-point channels with probabilistic termination and expected constant round complexity. However, absent a rigorous simulation-based definition, the suggested protocols are proven secure in a property-based manner or via ad hoc simulation-based frameworks, therefore guaranteeing limited, if any, composability. In this work, we put forth the first simulation-based treatment of multi-party cryptographic protocols with probabilistic termination. We define secure multi-party computation (MPC) with probabilistic termination in the UC framework and prove a universal composition theorem for probabilistic termination protocols. Our theorem allows to compile a protocol using deterministic termination hybrids into a protocol that uses expected constant round protocols for emulating these hybrids, preserving the expected round complexity of the calling protocol. We showcase our definitions and compiler by providing the first composable protocols (with simulation-based security proofs) for the following primitives, relying on point-to-point channels: (1) expected constant round perfect Byzantine agreement, (2) expected constant round perfect parallel broadcast, and (3) perfectly secure MPC with round complexity independent of the number of parties.

The Bitcoin backbone protocol (Eurocrypt 2015) extracts basic properties of Bitcoin’s underlying blockchain data structure, such as “common prefix” and “chain quality,” and shows how fundamental applications including consensus and a robust public transaction ledger can be built on top of them. The underlying assumptions are “proofs of work” (POWs), adversarial hashing power strictly less than 1/2 and no adversarial pre-computation—or, alternatively, the existence of an unpredictable “genesis” block.In this paper we first show how to remove the latter assumption, presenting a “bootstrapped” Bitcoin-like blockchain protocol relying on POWs that builds genesis blocks “from scratch” in the presence of adversarial pre-computation. Importantly, the round complexity of the genesis block generation process is independent of the number of participants.Next, we consider applications of our construction, including a PKI generation protocol and a consensus protocol without trusted setup assuming an honest majority (in terms of computational power). Previous results in the same setting (unauthenticated parties, no trusted setup, POWs) required a round complexity linear in the number of participants.