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ACM SIGSAC Conference on Computer and Communications Security (CCS)

TASTY

Wilko Henecka, Stefan K ögl, Ahmad‐Reza Sadeghi, Thomas H. Schneider, Immo Wehrenberg

Published Oct 4, 2010• 356 citations
Publisher

Abstract

Secure two-party computation allows two untrusting parties to jointly compute an arbitrary function on their respective private inputs while revealing no information beyond the outcome. Existing cryptographic compilers can automatically generate secure computation protocols from high-level specifications, but are often limited in their use and efficiency of generated protocols as they are based on either garbled circuits or (additively) homomorphic encryption only.

DOI
10.1145/1866307.1866358

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Secure two-party computation allows two untrusting parties to jointly compute an arbitrary function on their respective private inputs while revealing no information beyond the outcome. Existing cryptographic compilers can automatically generate secure computation protocols from high-level specifications, but are often limited in their use and efficiency of generated protocols as they are based on either garbled circuits or (additively) homomorphic encryption only.
We present the design and implementation of a compiler that automatically generates protocols that perform two-party computations. The input to our protocol is the specification of a computation with secret inputs (e.g., a signature algorithm) expressed using operations in the field Zq of integers modulo a prime q and in the multiplicative subgroup of order q in Z # p for q|p 1 with generator g. The output of our compiler is an implementation of each party in a two-party protocol to perform the same computation securely, i.e., so that both parties can together compute the function but neither can alone. The protocols generated by our compiler are provably secure, in that their strength can be reduced to that of the original cryptographic computation via simulation arguments. Our compiler can be applied to various cryptographic primitives (e.g., signature schemes, encryption schemes, oblivious transfer protocols) and other protocols that employ a trusted party (e.g., key retrieval, key distribution).
We present the design and implementation of a compiler that automatically generates protocols that perform two-party computations. The input to our protocol is the specification of a computation with secret inputs (e.g., a signature algorithm) expressed using operations in the field Zq of integers modulo a prime q and in the multiplicative subgroup of order q in Z*p for q|p-1 with generator g. The output of our compiler is an implementation of each party in a two-party protocol to perform the same computation securely, i.e., so that both parties can together compute the function but neither can alone. The protocols generated by our compiler are provably secure, in that their strength can be reduced to that of the original cryptographic computation via simulation arguments. Our compiler can be applied to various cryptographic primitives (e.g., signature schemes, encryption schemes, oblivious transfer protocols) and other protocols that employ a trusted party (e.g., key retrieval, key distribution).
We present the design and implementation of a compiler that automatically generates protocols that perform two-party computations. The input to our protocol is the specification of a computation with secret inputs (e.g., a signature algorithm) expressed using operations in the field Zq of integers modulo a prime q and in the multiplicative subgroup of order q in Z*p for q|p-1 with generator g. The output of our compiler is an implementation of each party in a two-party protocol to perform the same computation securely, i.e., so that both parties can together compute the function but neither can alone. The protocols generated by our compiler are provably secure, in that their strength can be reduced to that of the original cryptographic computation via simulation arguments. Our compiler can be applied to various cryptographic primitives (e.g., signature schemes, encryption schemes, oblivious transfer protocols) and other protocols that employ a trusted party (e.g., key retrieval, key distribution).
It seems to be a generally acknowledged fact that you should never trust a computer and that you should trust the person operating the computer even less. This in particular becomes a problem when the party that you do not trust is one which is separated from you and is one on which you depend, e.g. because that party is the holder of some data or some capability that you need in order to operate correctly. How do you perform a given task involving interaction with other parties while allowing these parties a minimal influence on you and, if privacy is an issue, allowing them to learn as little about you as possible. This is the general problem of secure multiparty computation. The usual way of formalizing the problem is to say that a number of parties who do not trust each other wish to compute some function of their local inputs, while keeping their inputs as secret as possible and guaranteeing the correctness of the output. Both goals should be obtained even if some parties stop participating or some malevolent coalition of the parties start deviating arbitrarily from the agreed protocol. The task is further complicated by the fact that besides their mutual distrust, nor do the parties trust the channels by which they communicate. A general solution to the secure multiparty computation problem is a compiler which given any feasible function describes an efficient protocol which allows the parties to compute the function securely on their local inputs over an open network. Over the past twenty years the secure multiparty computation problem has been the subject of a large body of research, both research into the models of multiparty computation and research aimed at realizing general secure multiparty computation. The main approach to realizing secure multiparty computation has been based on verifiable secret sharing as computation, where each party holds a secret share of each input and during the execution computes secret shares of all intermediate values. This approach allows the parties to keep all inputs and intermediate values secret and to pool the shares of the output values to learn exactly these values. More recently an approach based on joint homomorphic encryption was introduced, allowing for an efficient realization of general multiparty computation secure against an eavesdropper. A joint encryption scheme is an encryption scheme where all parties can encrypt, but where it takes the participation of all parties to open an encryption. The computation then starts by all parties broadcasting encryptions of their inputs and progresses through computing encryptions of the intermediary values using the homomorphic properties of the encryption scheme. The encryptions of the outputs can then be jointly decrypted. In this dissertation we extend this approach by using threshold homomorphic encryption to provide full-fledged security against an active attacker which might control some of the parties and which might take over parties during the course of the protocol execution. As opposed to a joint encryption scheme a threshold encryption scheme only requires that a given number of the parties are operating correctly for decryption to be possible. In this dissertation we show that threshold homomorphic encryption allows to solve the secure general multiparty computation problem more efficiently than previous approaches to the problem. Starting from an open point-to-point network there is a long way to general secure multiparty computation. The dissertation contains contributions at several points along the way. In particular we investigate how to realize secure channels. We also show how threshold signature schemes can be used to efficiently realize a broadcast channel and how threshold cryptography can be used to provide the parties of the network with a source of shared randomness. All three tools are well-known to be extremely powerful resources in a network, and our principle contribution is to provide efficient realizations. The dissertation also contains contributions to the definitional part of the field of multiparty computation. Most significantly we augment the recent model of universally composable security with a formal notion of what it means for a protocol to only realize a given problem under a given restricted input-output behavior of the environment. This e.g. allows us to give the first specification of a universally composable zero-knowledge proof of membership which does not at the same time require the proof system to be a proof of knowledge.
Multiparty computation (MPC) is a cryptographic method that enables a set of parties to compute an arbitrary joint function of the private inputs of all parties and does not reveal any information other than the output. MPC based on a secret sharing scheme (SS-MPC) and garbled circuit (GC) is known as the most common MPC schemes. Another cryptographic method, homomorphic encryption (HE), computes an arbitrary function represented as a circuit by using ciphertexts without decrypting them. These technologies are in a trade-off relationship for the communication/round complexities, and the computation cost. The private decision tree evaluation (PDTE) is one of the key applications of these technologies. There exist several constant-round PDTE protocols based on GC, HE, or the hybrid schemes that are secure even if a malicious adversary who can deviate from protocol specifications corrupts some parties. There also exist other protocols based only on SS-MPC that are secure only if a semi-honest adversary who follows the protocol specification corrupts some parties. However, to the best of our knowledge, there are currently no constant-round PDTE protocols based only on SS-MPC that are secure against a malicious adversary. In this work, we propose a constant-round four-party PDTE protocol that achieves malicious security. Our protocol provides the PDTE securely and efficiently even when the communication environment has a large latency.