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The structure of secure multi-party computation

Michael J. Rosulek

Published Sep 8, 2009• 4 citations
OpenAlex

Abstract

Secure multi-party computation is a conceptual framework in which distrusting parties engage in a protocol to securely perform a computational task. Depending on the precise model of security, different sets of tasks admit secure protocols. We take a complexity-theoretic approach to studying the inherent difficulty of securely realizing tasks in various standard security models. * We give the first alternate characterization of secure realizability in the framework of universally composable (UC) security. This is the first characterization in any model to consider completely arbitrary computational tasks and completely arbitrary communication channels. * The most long-standing class of computational tasks studied are those in which two parties evaluate a deterministic function. For these tasks, we give the first complete, combinatorial characterizations of secure realizability in the passive, standalone, and universally composable security models, against computationally unbounded adversaries. * Say that a task G has ``as much cryptographic complexity'' as another task F if there is a secure protocol for F that uses access to a secure implementation of G. We show that there is an infinite hierarchy of tasks with strictly increasing cryptographic complexities, with respect to computationally unbounded security. We also show that there exist tasks whose cryptographic complexities are incomparable. * In contrast, we show that under a standard cryptographic assumption, there exist only two distinct levels of cryptographic complexity with respect to polynomial-time security. Every task either has a trivial protocol using plain communication channels, or is complete (i.e., given access to a secure implementation of this task, there are secure protocols for all other tasks). This is the first result to derive a characterization of completeness for a class of arbitrary interactive tasks. In light of these characterizations, the only tasks which are securely realizable in the demanding framework of universal composition are those related to secure communication. Indeed, the framework has been used to define the security of encryption schemes, which has allowed for modular design and analysis of protocols. We consider a similar approach for homomorphic encryption schemes. A homomorphic scheme is one in which anyone can obtain an encryption of f(m_1, ..., m_n), given only the encryptions of unknown messages m_1, ..., m_n, for a specific set of functions f. * We give a construction of a homomorphic encryption scheme in which the allowed homomorphic operation is as full-featured as possible --- namely, one can derive a correctly-distributed encryption of f(m) given an encryption of unknown message m, for some functions f --- yet it is computationally infeasible to generate a ciphertext that is related to other ciphertexts in any other way. Our contributions involve developing new appropriate security definitions as well as new constructions. * We show that schemes with such powerful security guarantees can be used to build conceptually simple, efficient, UC-secure protocols for verifiable computations on encrypted data. We show protocols for two tasks related to aggregating encrypted data.

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Secure multi-party computation (MPC) enables distrustful parties to jointly perform computations while guaranteeing both the privacy of their inputs and the correctness of the computation. This thesis explores two aspects of secure multi-party computation: adaptive security and round efficiency. Adaptive security is concerned with an adversary that adaptively determines who and when to corrupt during the course of the computation. Even though this is a very natural and realistic assumption about the adversary, most of the MPC literature addresses security only against a static adversary — an adversary that chooses (and fixes) which parties to corrupt before the protocol starts executing. A protocol is called round-efficient if it runs in a small number of rounds. Constructing such protocols is important since efficiency of a protocol is greatly influenced by its round complexity. The security in this thesis is formulated in the universal composability (UC) framework introduced by Canetti [Can01]. Protocols secure in the UC framework remain secure even when executed concurrently with other arbitrary protocols running in some larger network, and can be used as subroutines of larger protocols in a modular fashion. This property is important considering that nowadays many protocols are executed concurrently with others in the Internet. With the focus on adaptive security and round efficiency, we obtain the following results: (1) We show that with access to an ideal commitment functionality, there exists a protocol that UC realizes any well-formed multi-party functionality against a malicious, adaptive adversary that may corrupt any number of parties, with black-box access to any protocol that UC realizes oblivious transfer against a semi-honest, adaptive adversary. (2) We show that there exists a protocol that UC realizes oblivious transfer against a semi-honest, adaptive adversary, with black-box access to a cryptographic primitive called a trapdoor simulatable cryptosystem, which is a natural relaxation of a simulatable cryptosystem introduced by Damgard and Nielsen [3N00]. We also show that the primitive can be constructed based on hardness of factoring. (3) We present a single-message protocol that UC realizes two-party computing with encrypted data (a variant of secure two-party computation), based on the DDH assumption and non- interactive zero-knowledge arguments. The protocol achieves security against a malicious, static adversary. (4) We present two round-efficient protocols that UC realize multi-party computing with encrypted data (a variant of secure multi-party computation), based on the DDH assumption and non-interactive zero-knowledge arguments. The first (resp. second) protocol requires one round (resp. two rounds) with appropriate preprocessing, which is independent of the exact circuit and actual inputs of the specific instance problem to solve — only the bound on the circuit size is known. Although the first protocol is more round-efficient, the preprocessing of the second is sometimes better under some efficiency considerations. Both protocols achieve security against a malicious, static adversary that may corrupt up to all but one parties.

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Secure multi-party computation is a conceptual framework in which distrusting parties engage in a protocol to securely perform a computational task. Depending on the precise model of security, different sets of tasks admit secure protocols. We take a complexity-theoretic approach to studying the inherent difficulty of securely realizing tasks in various standard security models. * We give the first alternate characterization of secure realizability in the framework of universally composable (UC) security. This is the first characterization in any model to consider completely arbitrary computational tasks and completely arbitrary communication channels. * The most long-standing class of computational tasks studied are those in which two parties evaluate a deterministic function. For these tasks, we give the first complete, combinatorial characterizations of secure realizability in the passive, standalone, and universally composable security models, against computationally unbounded adversaries. * Say that a task G has ``as much cryptographic complexity'' as another task F if there is a secure protocol for F that uses access to a secure implementation of G. We show that there is an infinite hierarchy of tasks with strictly increasing cryptographic complexities, with respect to computationally unbounded security. We also show that there exist tasks whose cryptographic complexities are incomparable. * In contrast, we show that under a standard cryptographic assumption, there exist only two distinct levels of cryptographic complexity with respect to polynomial-time security. Every task either has a trivial protocol using plain communication channels, or is complete (i.e., given access to a secure implementation of this task, there are secure protocols for all other tasks). This is the first result to derive a characterization of completeness for a class of arbitrary interactive tasks. In light of these characterizations, the only tasks which are securely realizable in the demanding framework of universal composition are those related to secure communication. Indeed, the framework has been used to define the security of encryption schemes, which has allowed for modular design and analysis of protocols. We consider a similar approach for homomorphic encryption schemes. A homomorphic scheme is one in which anyone can obtain an encryption of f(m_1, ..., m_n), given only the encryptions of unknown messages m_1, ..., m_n, for a specific set of functions f. * We give a construction of a homomorphic encryption scheme in which the allowed homomorphic operation is as full-featured as possible --- namely, one can derive a correctly-distributed encryption of f(m) given an encryption of unknown message m, for some functions f --- yet it is computationally infeasible to generate a ciphertext that is related to other ciphertexts in any other way. Our contributions involve developing new appropriate security definitions as well as new constructions. * We show that schemes with such powerful security guarantees can be used to build conceptually simple, efficient, UC-secure protocols for verifiable computations on encrypted data. We show protocols for two tasks related to aggregating encrypted data.
Secure multi-party computation (MPC, for short) is a powerful cryptographic concept which lets mutually distrusting parties collaborate without compromising their private information (beyond what is required by the functionality for which they collaborate). The functionality allowed in such a collaboration is so general that MPC subsumes virtually all other cryptographic tasks. Much of the two and a half decades of cryptographic research can be seen as striving towards the Holy Grail of realizing secure MPC in the most challenging scenario in which the parties carry out multiple tasks concurrently, the entire communication is adversarially controlled and there are no universally trusted entities. In this thesis, for the first time we show how to realize secure MPC in such a general setting. Our contribution can be considered three-fold: (1) Definition of security. We present a new framework—called Los Angeles Network aware security—for defining security of MPC protocols. This builds on Canetti's Universally Composable security framework, under which it was known that very few distributed tasks can be carried out securely (unless globally trusted entities were used by the protocol). (2)  Protocols and proofs. We build a new protocol for Multi-Party Computation which uses no globally trusted entities, and prove that it is secure in the Los Angeles Network aware security framework, under certain complexity theoretic assumptions. The high-level structure of the protocol and proof of security resembles that in previous works on Multi-Party Computation, but we employ novel approaches in designing the lower level elements of our protocol. (3)  Complexity theoretic assumptions. We introduce new complexity theoretic assumptions, and show their use in proving the security of our protocols. The assumptions we make are somewhat different from those used in previous works. We informally argue why our assumptions are reasonable. Also, we introduce an extension to the Los Angeles Network aware security framework—called monitored security—to obtain a greater security-efficiency trade off. We show how Network aware security guarantees, albeit weak, can be given under this framework for much more efficient and simpler protocols.
We use security in the Universal Composition framework as a means to study the “cryptographic complexity ” of 2-party secure computation tasks (functionalities). We say that a functionality F reduces to another functionality G if there is a UC-secure protocol for F using ideal access to G. This reduction is a natural and fine-grained way to compare the relative complexities of cryptographic tasks. There are two natural “extremes ” of complexity under the reduction: the trivial functionalities, which can be reduced to any other functionality; and the complete functionalities, to which any other functionality can be reduced. In this work we show that under a natural computational assumption (the existence of a protocol for oblivious transfer secure against semi-honest adversaries), there is a zero-one law for the cryptographic complexity of 2-party deterministic functionalities. Namely, every such functionality is either trivial or complete. No other qualitative distinctions exist among functionalities, under this computational assumption. While nearly all previous work classifying multi-party computation functionalities has been restricted to the case of secure function evaluation, our results are the first to consider completeness of arbitrary reactive functionalities, which receive input and give output repeatedly throughout several rounds of interaction. One important technical contribution in this work is to initiate the comprehensive study of the cryptographic properties of reactive functionalities. We model these functionalities as finite automata and develop an automata-theoretic methodology for classifying and studying their cryptographic properties. Consequently, we completely characterize the reactive behaviors that lead to cryptographic non-triviality.
In symmetric secure function evaluation (SSFE), Alice has an input x, Bob has an input y, and both parties wish to securely compute f(x, y). We show several new results classifying the feasibility of securely implementing these functions in several security settings. Namely, we give new alternate characterizations of the functions that have (statistically) secure protocols against passive and active (standalone), computationally unbounded adversaries. We also show a strict, infinite hierarchy of complexity for SSFE functions with respect to universally composable security against unbounded adversaries. That is, there exists a sequence of functions f1, f2,... such that there exists a UC-secure protocol for fi in the fj-hybrid world if and only if i ≤ j. The main new technical tool that unifies our unrealizability results is a powerful protocol simulation theorem, which may be of independent interest. Essentially, in any adversarial setting (UC, standalone, or passive), f is securely realizable if and only if a very simple (deterministic) “canonical ” protocol for f achieves the desired security. Thus, to show that f is unrealizable, one need simply demonstrate a single attack on a single simple protocol. 1
Which computational complexity assumptions are inherent to cryptography? We present a broad framework to pose and investigate this question. We first aim to understand the “cryptographic complexity ” of various tasks, independent of any computational assumptions. In our framework the cryptographic tasks are modeled as multi-party computation functionalities. We consider a universally composable secure protocol for one task given access to another task as the most natural complexity reduction between the two tasks. Some of these cryptographic complexity reductions are unconditional, others are unconditionally non-existent, but the vast majority appear to depend on computational assumptions; it is this relationship with computational assumptions that we study. In our detailed investigation of large classes of 2-party functionalities, we find that every reduction we are able to classify turns out to be unconditionally true or false, or else equivalent to the existence of one-way functions (OWF) or of semi-honest (equivalently, standalone-secure) oblivious transfer protocols (sh-OT). This leads us to conjecture that there are only a small finite number of distinct (i.e., black-box separable) computational assump-tions that are inherent among the infinite number of different cryptographic reductions in our framework. On moving to 3-party functionalities, there does exist a natural computational assumption, distinct from the OWF and sh-OT assumptions (namely, the existence of a key agreement protocol) that manifests itself as a cryptographic
In this paper, we present a simpler and more restricted variant of the universally composable security (UC) framework that is suitable for “standard ” two-party and multiparty computation tasks. Many of the complications of the UC framework exist in order to enable more general tasks than classic secure computation. This generality may be a barrier to entry for those who are used to the stand-alone model of secure computation and wish to work with universally composable security but are overwhelmed by the differences. The variant presented here (called simplified universally composable security, or just SUC) is closer to the definition of security for multiparty computation in the stand-alone setting. The main difference is that a protocol in the SUC framework runs with a fixed set of parties who know each other’s identities ahead of time, and machines cannot be added dynamically to the execution. As a result, the definitions of polynomial time and protocol composition are much simpler. In addition, the SUC framework has authenticated channels built in, as is standard in previous definitions of security, and all communication is done via the adversary in order to enable arbitrary scheduling of messages. Due to these differences, not all cryptographic tasks can be expressed in the SUC framework.
Secure multi-party computation (MPC) enables distrustful parties to jointly perform computations while guaranteeing both the privacy of their inputs and the correctness of the computation. This thesis explores two aspects of secure multi-party computation: adaptive security and round efficiency. Adaptive security is concerned with an adversary that adaptively determines who and when to corrupt during the course of the computation. Even though this is a very natural and realistic assumption about the adversary, most of the MPC literature addresses security only against a static adversary — an adversary that chooses (and fixes) which parties to corrupt before the protocol starts executing. A protocol is called round-efficient if it runs in a small number of rounds. Constructing such protocols is important since efficiency of a protocol is greatly influenced by its round complexity. The security in this thesis is formulated in the universal composability (UC) framework introduced by Canetti [Can01]. Protocols secure in the UC framework remain secure even when executed concurrently with other arbitrary protocols running in some larger network, and can be used as subroutines of larger protocols in a modular fashion. This property is important considering that nowadays many protocols are executed concurrently with others in the Internet. With the focus on adaptive security and round efficiency, we obtain the following results: (1) We show that with access to an ideal commitment functionality, there exists a protocol that UC realizes any well-formed multi-party functionality against a malicious, adaptive adversary that may corrupt any number of parties, with black-box access to any protocol that UC realizes oblivious transfer against a semi-honest, adaptive adversary. (2) We show that there exists a protocol that UC realizes oblivious transfer against a semi-honest, adaptive adversary, with black-box access to a cryptographic primitive called a trapdoor simulatable cryptosystem, which is a natural relaxation of a simulatable cryptosystem introduced by Damgard and Nielsen [3N00]. We also show that the primitive can be constructed based on hardness of factoring. (3) We present a single-message protocol that UC realizes two-party computing with encrypted data (a variant of secure two-party computation), based on the DDH assumption and non- interactive zero-knowledge arguments. The protocol achieves security against a malicious, static adversary. (4) We present two round-efficient protocols that UC realize multi-party computing with encrypted data (a variant of secure multi-party computation), based on the DDH assumption and non-interactive zero-knowledge arguments. The first (resp. second) protocol requires one round (resp. two rounds) with appropriate preprocessing, which is independent of the exact circuit and actual inputs of the specific instance problem to solve — only the bound on the circuit size is known. Although the first protocol is more round-efficient, the preprocessing of the second is sometimes better under some efficiency considerations. Both protocols achieve security against a malicious, static adversary that may corrupt up to all but one parties.