International Association
for Cryptologic Research

Vector commitments with subvector openings (SVC) [Lai-Malavolta and Boneh-Bunz-Fisch, CRYPTO'19] allow one to open a committed vector at a set of positions with an opening of size independent of both the vector's length and the number of opened positions.

We propose a new SVC construction in groups of unknown order that, similarly to that of Boneh et al. has constant-size public parameters, commitments and openings, but in addition enjoys new features. First, our SVC has incremental aggregation: one can merge openings in a succinct way an unbounded number of times. Thanks to incremental aggregation we obtain: faster generation of openings via preprocessing, and a method to generate openings in a distributed way. Second, we propose efficient arguments of knowledge of subvector openings for our SVC, which immediately yields a keyless proof of storage with compact proofs.

Finally, we introduce and contruct Verifiable Decentralized Storage (VDS), a cryptographic primitive that allows to check the integrity of a file stored by a network of nodes in a distributed and decentralized way.

After ratcheting attracted attention mostly due to practical real-world protocols, recently a line of work studied ratcheting as a primitive from a theoretic point of view. Literature in this line, pursuing the strongest security of ratcheting one can hope for, utilized for constructions strong, yet inefficient key-updatable primitives – based on hierarchical identity based encryption (HIBE). As none of these works formally justified utilizing these building blocks, we answer the yet open question whether their use is actually necessary.

We revisit these strong notions of ratcheted key exchange (RKE), and propose a more realistic (and slightly stronger) security definition. In this security definition, both the exposure of the communicating parties' local states and the adversary's ability to attack the executions' randomness are considered. While these two attacks were partially considered in previous work, we are the first to unify them cleanly in a natural game based notion.

Our definitions are based on the systematic RKE notion by Poettering and Rösler (CRYPTO 2018). Due to slight (but meaningful) changes to regard attacks against randomness, we are ultimately able to show that, in order to fulfill strong security for RKE, public key cryptography with (independently) updatable key pairs is a necessary building block. Surprisingly, this implication already holds for the simplest RKE variant (which was previously instantiated with only standard public key cryptography).

Our contributions are thus threefold: (1) We model optimally secure RKE under randomness manipulation to cover realistic attacks, (2) we (provably) extract the core primitive that is necessary to realize strongly secure RKE, and (3) our results indicate under which conditions this primitive is necessary for strongly secure ratcheting and which relaxations in security allow for constructions that only rely on standard public key cryptography.

We present the first explicit construction of a non-malleable code that can handle tampering functions that are bounded-degree polynomials.

Prior to our work, this was only known for degree-1 polynomials (affine tampering functions), due to Chattopadhyay and Li (STOC 2017). As a direct corollary, we obtain an explicit non-malleable code that is secure against tampering by bounded-size arithmetic circuits.

We show applications of our non-malleable code in constructing non-malleable secret sharing schemes that are robust against bounded-degree polynomial tampering. In fact our result is stronger: we can handle adversaries that can adaptively choose the polynomial tampering function based on initial leakage of a bounded number of shares.

Our results are derived from explicit constructions of seedless non-malleable extractors that can handle bounded-degree polynomial tampering functions. Prior to our work, no such result was known even for degree-2 (quadratic) polynomials.

We construct the first hierarchical identity-based encryption (HIBE) scheme with tight adaptive security in the multi-challenge setting, where adversaries are allowed to ask for ciphertexts for multiple adaptively chosen identities. Technically, we develop a novel technique that can tightly introduce randomness into user secret keys for hierarchical identities in the multi-challenge setting, which cannot be easily achieved by the existing techniques for tightly multi-challenge secure IBE.

In contrast to the previous constructions, the security of our scheme is independent of the number of user secret key queries and that of challenge ciphertext queries. We prove the tight security of our scheme based on the Matrix Decisional Diffie-Hellman Assumption, which is an abstraction of standard and simple decisional Diffie-Hellman assumptions, such as the k-Linear and SXDH assumptions.

Finally, we also extend our ideas to achieve tight chosen-ciphertext security and anonymity, respectively. These security notions for HIBE have not been tightly achieved in the multi-challenge setting before.

Physical Unclonable Functions (PUFs) provide means to generate chip individual keys, especially for low-cost applications such as the Internet of Things (IoT). They are intrinsically robust against reverse engineering, and more cost-effective than non-volatile memory (NVM). For several PUF primitives, countermeasures have been proposed to mitigate side-channel weaknesses. However, most mitigation techniques require substantial design effort and/or complexity overhead, which cannot be tolerated in low-cost IoT scenarios. In this paper, we first analyze side-channel vulnerabilities of the Loop PUF, an area efficient PUF implementation with a configurable delay path based on a single ring oscillator (RO). We provide side-channel analysis (SCA) results from power and electromagnetic measurements. We confirm that oscillation frequencies are easily observable and distinguishable, breaking the security of unprotected Loop PUF implementations. Second, we present a low-cost countermeasure based on temporal masking to thwart SCA that requires only one bit of randomness per PUF response bit. The randomness is extracted from the PUF itself creating a self-secured PUF. The concept is highly effective regarding security, low complexity, and low design constraints making it ideal for applications like IoT. Finally, we discuss trade-offs of side-channel resistance, reliability, and latency as well as the transfer of the countermeasure to other RO-based PUFs.

Double-base chains (DBCs) are widely used to speed up scalar multiplications on elliptic curves. We present three results of DBCs. First, we display a structure of the set containing all DBCs and propose an iterative algorithm to compute the number of DBCs for a positive integer. This is the first polynomial time algorithm to compute the number of DBCs for positive integers. Secondly, we present an asymptotic lower bound on average Hamming weights of DBCs $\frac{\log n}{8.25}$ for a positive integer $n$. This result answers an open question about the Hamming weights of DBCs. Thirdly, we propose a new algorithm to generate an optimal DBC for any positive integer. The time complexity of this algorithm is $\mathcal{O}\left(\left(\log n\right)^2 \log\log n\right)$ bit operations and the space complexity is $\mathcal{O}\left(\left(\log n\right)^{2}\right)$ bits of memory. This algorithm accelerates the recoding procedure by more than $6$ times compared to the state-of-the-art Bernstein, Chuengsatiansup, and Lange's work. The Hamming weights of optimal DBCs are over $60$\% smaller than those of NAFs. Scalar multiplication using our optimal DBC is about $13$\% faster than that using non-adjacent form on elliptic curves over large prime fields.

Recently, in IEEE Internet of Things Journal (DOI: 10.1109/JIOT.2019.2923373 ), Banerjee et al. proposed a lightweight anonymous authenticated key exchange scheme for IoT based on symmetric cryptography. In this paper, we show that the proposal can not resist impersonation attacks due to vulnerable mutual authentication, and give improvements.

We study the problem of $\textit{state machine replication}$ (SMR) -- the underlying problem addressed by blockchain protocols -- in the presence of a malicious adversary who can corrupt some fraction of the parties running the protocol. Existing protocols for this task assume either a $\textit{synchronous network}$ (where all messages are delivered within some known time $\Delta$) or an $\textit{asynchronous network}$ (where messages can be delayed arbitrarily). Although protocols for the latter case give seemingly stronger guarantees, in fact they are incomparable since they (inherently) tolerate a lower fraction of corrupted parties.

We design an SMR protocol that is network-agnostic in the following sense: if it is run in a synchronous network, it tolerates $t_s$ corrupted parties; if the network happens to be asynchronous it is resilient to $t_a\leq t_s$ faults. Our protocol achieves optimal tradeoffs between $t_s$ and $t_a$.

Zero-knowledge proof systems enable a prover to convince a verifier of the validity of a statement without revealing anything beyond that fact. The role of randomness in interactive proofs in general, and in zero-knowledge in particular, is well known. In particular, zero-knowledge with a deterministic verifier is impossible for non-trivial languages (outside of $\mathcal{BPP}$). Likewise, it was shown by Goldreich and Oren (Journal of Cryptology, 1994) that zero-knowledge with a deterministic prover is also impossible for non-trivial languages. However, their proof holds only for auxiliary-input zero knowledge and a malicious verifier.

In this paper, we initiate the study of the feasibility of zero-knowledge proof systems with a deterministic prover in settings not covered by the result of Goldreich and Oren. We prove the existence of deterministic-prover auxiliary-input honest-verifier zero-knowledge for any $\cal NP$ language, under standard assumptions. In addition, we show that any language with a hash proof system has a deterministic-prover honest-verifier statistical zero-knowledge proof, with an efficient prover. Finally, we show that in some cases, it is even possible to achieve deterministic-prover uniform zero-knowledge for a malicious verifier. Our contribution is primarily conceptual, and sheds light on the necessity of randomness in zero knowledge in settings where either the verifier is honest or there is no auxiliary input.

Password-based authenticated key exchange (PAKE) allows two parties with a shared password to agree on a session key. In the last decade, the design of PAKE protocols from lattice assumptions has attracted lots of attention. However, existing solutions in the standard model do not have appealing efficiency. In this work, we first introduce a new PAKE framework. We then provide two realizations in the standard model, under the Learning With Errors (LWE) and Ring-LWE assumptions, respectively. Our protocols are much more efficient than previous proposals, thanks to three novel technical ingredients that may be of independent interests. The first ingredient consists of two approximate smooth projective hash (ASPH) functions from LWE, as well as two ASPHs from Ring-LWE. The latter are the first ring-based constructions in the literature, one of which only has a quasi-linear runtime while its function value contains $\Theta(n)$ field elements (where $n$ is the degree of the polynomial defining the ring). The second ingredient is a new key conciliation scheme that is approximately rate-optimal and that leads to a very efficient key derivation for PAKE protocols. The third one is a new authentication code that allows to verify a MAC with a noisy key.

The dual execution paradigm of Mohassel and Franklin (PKC'06) and Huang, Katz and Evans (IEEE '12) shows how to achieve the notion of 1-bit leakage security at roughly twice the cost of semi-honest security for the special case of two-party secure computation. To date, there are no multi-party computation (MPC) protocols that offer such a strong trade-off between security and semi-honest performance.

Our main result is to address this shortcoming by designing 1-bit leakage protocols for the multi-party setting, albeit for a special class of functions. We say that function f(x,y) is efficiently verifiable by g if the running time of g is always smaller than f and g(x,y,z)=1 if and only if f(x,y)=z.

In the two-party setting, we first improve dual execution by observing that the ``second execution'' can be an evaluation of g instead of f, and that by definition, the evaluation of g is asymptotically more efficient.

Our main MPC result is to construct a 1-bit leakage protocol for such functions from any passive protocol for f that is secure up to additive errors and any active protocol for g. An important result by Genkin et al. (STOC '14) shows how the classic protocols by Goldreich et al. (STOC '87) and Ben-Or et al. (STOC '88) naturally support this property, which allows to instantiate our compiler with two-party and multi-party protocols.

A key technical result we prove is that the passive protocol for distributed garbling due to Beaver et al. (STOC '90) is in fact secure up to additive errors against malicious adversaries, thereby, yielding another powerful instantiation of our paradigm in the constant-round multi-party setting.

As another concrete example of instantiating our approach, we present a novel protocol for computing perfect matching that is secure in the 1-bit leakage model and whose communication complexity is less than the honest-but-curious implementations of textbook algorithms for perfect matching.

The abilities of smart contracts today are confined to reading from their own state. It is useful for a smart contract to be able to react to events and read the state of other smart contracts. In this paper, we devise a mechanism by which a derivative smart contract can read data, observe the state evolution, and react to events that take place in one or more underlying smart contracts of its choice. Our mechanism works even if the underlying smart contract is not designed to operate with the derivative smart contract. Like in traditional finance, derivatives derive their value (and more generally state) through potentially complex dependencies. We show how derivative smart contracts can be deployed in practice on the Ethereum blockchain without any forks or additional assumptions. We leverage any NIPoPoWs mechanism (such as FlyClient or superblocks) to obtain succinct proofs for arbitrary events, making proving them inexpensive for users. The latter construction is of particular interest, as it forms the first introspective SPV client: an SPV client for Ethereum in Ethereum. Last, we describe applications of smart contract derivatives which were not possible prior to our work, in particular the ability to create decentralized insurance smart contracts which insure an underlying on-chain security such as an ICO, as well as futures and options.

In functional encryption (FE) a sender, Alice, encrypts plaintexts that a receiver, Bob, can obtain functional evaluations of, while Charlie is responsible for initializing the encryption keys and issuing the decryption keys. Standard notions of security for FE deal with a malicious Bob and how the confidentiality of Alice's messages can be maintained taking into account the leakage that occurs due to the functional keys that are revealed to the adversary via various forms of indistinguishability experiments that correspond to IND-CPA, IND-CCA and simulation-based security. In this work we provide a complete and systematic investigation of Consistency, a natural security property for FE, that deals with attacks that can be mounted by Alice, Charlie or a collusion of the two against Bob. We develop three main types of consistency notions according to which set of parties is corrupted and investigate their relation to the standard security properties of FE.

We then provide explicit constructions that achieve consistency either directly via a construction based on MDDH for specific function classes of inner products over a modulo group or generically for all the consistency types via compilers using standard cryptographic tools. Finally, we put forth a universally composable treatment of FE and we show that our consistency notions naturally complement FE security by proving how they imply (and are implied by) UC security depending on which set of parties is corrupted thereby yielding a complete characterization of consistency for FE.

Zero-knowledge (ZK) proofs (ZKP) have received wide attention, focusing on non-interactivity, short proof size, and fast verification time. We focus on the fastest total proof time, in particular for large Boolean circuits. Under this metric, Garbled Circuit (GC)-based ZKP (Jawurek et al., [JKO], CCS 2013) remained the state-of-the-art technique due to the low-constant linear scaling of computing the garbling. We improve GC-ZKP for proof statements with conditional clauses. Our communication is proportional to the longest branch rather than to the entire proof statement. This is most useful when the number m of branches is large, resulting in up to factor $m\times$ improvement over JKO. In our proof-of-concept illustrative application, prover P demonstrates knowledge of a bug in a codebase consisting of any number of snippets of actual C code. Our computation cost is linear in the size of the codebase and communication is constant in the number of snippets. That is, we require only enough communication for a single largest snippet! Our conceptual contribution is stacked garbling for ZK, a privacy-free circuit garbling scheme that can be used with the JKO GC-ZKP protocol to construct more efficient ZKP. Given a Boolean circuit C and computational security parameter $\kappa$, the size of our garbling is $L \cdot \kappa$ bits, where $L$ is the length of the longest execution path in C. All prior garbling schemes produce garblings of size $|C| \cdot \kappa$. The computational cost of our scheme is not increased over prior state-of-the-art. We implement our GC-ZKP and demonstrate significantly improved ($m\times$ over JKO) ZK performance for functions with branching factor $m$. Compared with recent ZKP (STARK, Libra, KKW, Ligero, Aurora, Bulletproofs), our scheme offers much better proof times for larger circuits ($35-1000\times$ or more, depending on circuit size and compared scheme). For our illustrative application, we consider four C code snippets, each of about 30-50 LOC; one snippet allows an invalid memory dereference. The entire proof takes 0.15 seconds and communication is 1.5 MB.

A $t$-out-of-$N$ threshold ring signature allows $t$ parties to jointly and anonymously compute a signature on behalf on $N$ public keys, selected in an arbitrary manner among the set of all public keys registered in the system.

Existing definitions for $t$-out-of-$N$ threshold ring signatures guarantee security only when the public keys are honestly generated, and many even restrict the ability of the adversary to actively participate in the computation of the signatures. Such definitions do not capture the open settings envisioned for threshold ring signatures, where parties can independently add themselves to the system, and join other parties for the computation of the signature.

Furthermore, known constructions of threshold ring signatures are not provably secure in the post-quantum setting, either because they are based on non-post quantum secure problems (e.g. Discrete Log, RSA), or because they rely on transformations such as Fiat-Shamir, that are not always secure in the quantum random oracle model (QROM).

In this paper, we provide the first definition of $t$-out-of-$N$ threshold ring signatures against {\em active} adversaries who can participate in the system and arbitrarily deviate from the prescribed procedures. Second, we present a post-quantum secure realization based on {\em any} (post-quantum secure) trapdoor commitment, which we prove secure in the QROM. Our construction is black-box and it can be instantiated with any trapdoor commitment, thus allowing the use of a variety of hardness assumptions.

We study the communication complexity of unconditionally secure MPC over point-to-point channels for corruption threshold t < n/2. We ask the question: "is it possible to achieve security-with-abort with the same concrete cost as the best-known semi-honest MPC protocol?" While a number of works have focused on improving the concrete efficiency in this setting, the answer to the above question has remained elusive until now.

We resolve the above question in the affirmative by providing a secure-with-abort MPC protocol with the same cost per gate as the best-known semi-honest protocol. Concretely, our protocol only needs 5.5 field elements per multiplication gate per party which matches (and even improves upon) the corresponding cost of the best known protocol in the semi-honest setting by Damgard and Nielsen. Previously best-known maliciously secure (with abort) protocols require 12 field elements. An additional feature of our protocol is its conceptual simplicity. Our result is achieved by relying on a novel technique of verifying a batch of multiplication tuples.

In ACM CCS'17, Choudhuri et al. designed two fair public-ledger-based multi-party protocols (in the malicious model with dishonest majority) for computing an arbitrary function $f$. One of their protocols is based on a trusted hardware enclave $G$ (which can be implemented using Intel SGX-hardware) and a public ledger (which can be implemented using a blockchain platform, such as Ethereum). Subsequently, in NDSS'19, a stateless version of the protocol was published. This is the first time, (a certain definition of) fairness -- that guarantees either all parties learn the final output or nobody does -- is achieved without any monetary or computational penalties. However, these protocols are fair, if the underlying core MPC component guarantees both privacy and correctness. While privacy is easy to achieve (using a secret sharing scheme), correctness requires expensive operations (such as ZK proofs and commitment schemes). We improve on this work in three different directions: attack, design and performance.

Our first major contribution is building practical attacks that demonstrate: if correctness is not satisfied then the fairness property of the aforementioned protocols collapse. Next, we design two new protocols -- stateful and stateless -- based on public ledger and trusted hardware that are: resistant against the aforementioned attacks, and made several orders of magnitude more efficient (related to both time and memory) than the existing ones by eliminating ZK proofs and commitment schemes in the design.

Last but not the least, we implemented the core MPC part of our protocols using the SPDZ-2 framework to demonstrate the feasibility of its practical implementation.

We consider the setting in which an untrusted server stores a collection of data and is asked to compute a function over it. In this scenario, we aim for solutions where the untrusted server does not learn information about the data and is prevented from cheating. This problem is addressed by verifiable and private delegation of computation, proposed by Gennaro, Gentry and Parno (CRYPTO’10), a notion that is close to both the active areas of homomorphic encryption and verifiable computation (VC). However, in spite of the efficiency advances in the respective areas, VC protocols that guarantee privacy of the inputs are still expensive. The only exception is a protocol by Fiore, Gennaro and Pastro (CCS’14) that supports arithmetic circuits of degree at most 2. In this paper we propose new efficient protocols for VC on encrypted data that improve over the state of the art solution of Fiore et al. in multiple aspects. First, we can support computations of degree higher than 2. Second, we achieve public delegatability and public verifiability whereas Fiore et al. need the same secret key to encode inputs and verify outputs. Third, we achieve a new property that guarantees that verifiers can be convinced about the correctness of the outputs without learning information on the inputs. The key tool to obtain our new protocols is a new SNARK that can efficiently handle computations over a quotient polynomial ring, such as the one used by Ring-LWE somewhat homomorphic encryption schemes. This SNARK in turn relies on a new commit-and-prove SNARK for proving evaluations on the same point of several committed polynomials. We propose a construction of this scheme under an extractability assumption over bilinear groups in the random oracle model.

There is a significant interest in securely computing functionalities with guaranteed output delivery, a.k.a, fair computation. For example, consider a 2-party $n$-round coin-tossing protocol in the information-theoretic setting. Even if one party aborts during the protocol execution, the other party has to receive her outcome. Towards this objective, every round, the sender of that round's message, preemptively prepares a defense coin, which is her output if the other party aborts prematurely. Cleve and Impagliazzo (1993), Beimel, Haitner, Makriyannis, and Eran Omri (2018), and Khorasgani, Maji, and Mukherjee (2019) show that a fail-stop adversary can alter the distribution of the outcome by $\Omega(1/\sqrt{n})$.

However, preparing the defense coin is computationally expensive. So, the parties would prefer to update their defense coin only sparingly or when indispensable. Furthermore, if parties delegate their coin-tossing task to an external server, it is even infeasible for the parties to stay abreast of the progress of the protocol and keep their defense coins in sync with the protocol evolution. Therefore, this paper considers lazy coin-tossing protocols, where parties update their defense coins only a total of $d$ times during the protocol execution. Is it possible that using only $d \ll n$ defense coin updates a fair coin-tossing protocol is robust to $\mathcal{O}({1/\sqrt{n}})$ change in their output distribution?

This paper proves that being robust to $\mathcal{O}({1/\sqrt{n}})$ change in the output distribution necessarily requires that the defense complexity $d=\Omega(n)$, thus ruling out the possibility mentioned above. More generally, our work proves that a fail-stop adversary can bias the outcome distribution of a coin-tossing protocol by $\Omega({1/\sqrt{d}})$, a qualitatively better attack than the previous state-of-the-art when $d=o({n})$. That is, the defense complexity of a coin-tossing protocol, not its round complexity, determines its security. We emphasize that the rounds where parties calculate their defense coins need not be a priori fixed; they can depend on the protocol's evolution itself. Finally, we translate this fail-stop adversarial attack into black-box separation results for lazy coin-tossing protocols.

The proof relies on an inductive argument using a carefully crafted potential function to precisely account for the quality of the best attack on coin-tossing protocols. Previous approaches fail when the protocol evolution reveals information about the defense coins of both the parties, which is inevitable in lazy coin-tossing protocols. Our analysis decouples the defense complexity of coin-tossing protocols from its round complexity to guarantee fail-stop attacks whose performance depends only on the defense complexity of the coin-tossing protocol; irrespective of their round complexity.

Byzantine agreement (BA), the task of $n$ parties to agree on one of their input bits in the face of malicious agents, is a powerful primitive that lies at the core of virtually every multi-party cryptographic protocol. Understanding the required communication complexity of BA as a function of $n$ is the subject of a rich line of research.

Interestingly, in protocols with the best overall communication complexity, the communication demands of the parties are highly unbalanced: the amortized cost is $\tilde O(1)$ bits per party, but some parties must send $\Omega(n)$ bits (e.g., Braud-Santoni et al., PODC'13). In best known balanced protocols, the overall communication is sub-optimal, with each party communicating $\tilde O(\sqrt{n})$ (e.g., King et al., ICDCN'11).

In this work, we ask whether asymmetry is inherent for optimizing total communication. In particular, is BA possible where each party sends and receives only $\tilde O(1)$ bits? Our contributions in this line are as follows:

1) We identify a cryptographic primitive---succinctly reconstructed distributed signatures (SRDS)---that suffices for constructing $\tilde O(1)$ balanced BA. We provide two constructions of SRDS: from one-way functions in a trustfully generated Public-Key Infrastructure (PKI) model, and from a strong form of succinct non-interactive arguments of knowledge in a weaker PKI model.

2) The SRDS-based BA follows a paradigm of boosting from "almost-everywhere" agreement (where $1-o(1)$ fraction of parties agree) to full agreement, and does so in a single round. Complementarily, we prove that PKI setup and cryptographic assumptions (alternatively, an even stronger, correlated-randomness setup assumption) are necessary for such protocols in which every party sends $o(n)$ messages.

3) We further explore connections between a natural approach toward attaining SRDS and average-case succinct non-interactive argument systems for a particular type of "Subset-$f$" problems (generalizing Subset-Sum and Subset-Product).

Collectively, our results provide an initial mapping for the feasibility landscape of $\tilde O(1)$ balanced BA, including new approaches forward, as well as limitations and barriers. Our approach yields the first two BA protocols with $\tilde O(1)$ balanced communication, offering a tradeoff between setup and cryptographic assumptions, and answering an open question presented by King and Saia (DISC'09).