We provide a non-interactive quantum bit commitment scheme which has statistically-hiding and computationally-binding properties from any quantum one-way function. Our protocol is basically a parallel composition of the previous non-interactive quantum bit commitment schemes (based on quantum one-way permutations, due to Dumais, Mayers and Salvail (EUROCRYPT 2000)) with pairwise independent hash functions. To construct our non-interactive quantum bit commitment scheme from any quantum one-way function, we follow the procedure below: (i) from Dumais-Mayers-Salvail scheme to a weakly-hiding and 1-out-of-2 binding commitment (of a parallel variant); (ii) from the weakly-hiding and 1-out-of-2 binding commitment to a strongly-hiding and 1-out-of-2 binding commitment; (iii) from the strongly-hiding and 1-out-of-2 binding commitment to a normal statistically-hiding commitment. In the classical case, statistically-hiding bit commitment scheme (by Haitner, Nguyen, Ong, Reingold and Vadhan (SIAM J. Comput., Vol.39, 2009)) is also constructible from any one-way function. While the classical statistically-hiding bit commitment has large round complexity, our quantum scheme is non-interactive, which is advantageous over the classical schemes. A main technical contribution is to provide a quantum analogue of the new interactive hashing theorem, due to Haitner and Reingold (CCC 2007). Moreover, the parallel composition enables us to simplify the security analysis drastically.

arXiv:1102.3441Feb 16, 20116 citations

Efficiently Outsourcing Multiparty Computation under Multiple Keys.

Peter Andreas, Erik Tews, Stefan Katzenbeisser

Abstract. Secure Multiparty Computation (SMC) enables a set of users to evaluate certain functionalities on their respective inputs while keeping these inputs encrypted throughout the computation. Inmanyscenarios, however, outsourcingthesecomputations toanuntrustedserver is desirable, sothattheservercanperform thecomputationonbehalfoftheusers.Unfortunately, existing solutions are either inefficient, rely heavily on user interaction, or require the inputs to be encrypted under the same key—drawbacks making the employment in practice very limited. We propose the first general-purpose construction that avoids all these drawbacks: it is efficient, it requires no user interaction whatsoever (except for data up- and download), and it allows evaluating any dynamically chosen function on inputs encrypted under different independent public keys. Our solution assumes the existence of two non-colluding but untrusted servers that jointly perform the computation by means of a cryptographic protocol. This protocol is provably secure in the semi-honest model. We demonstrate the applicability of our result in two real-world scenarios from different domains: Privacy-Preserving Face Recognition and Private Smart Metering. Finally, we give a performance analysis of our general-purpose construction to highlight its practicability.

Jan 1, 20132 citations