Statistically Hiding Commitments and Statistical Zero-Knowledge Arguments from Any One-Way Function
Statistically Hiding Commitments and Statistical Zero-Knowledge Arguments from Any One-Way Function
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DOI:
10.1137/080725404
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发表时间:
2009-09
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影响因子:
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通讯作者:
Iftach Haitner;Minh-Huyen Nguyen;Shien Jin Ong;Omer Reingold;S. Vadhan
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作者:
Iftach Haitner;Minh-Huyen Nguyen;Shien Jin Ong;Omer Reingold;S. Vadhan
We give a construction of statistically hiding commitment schemes (those in which the hiding property holds against even computationally unbounded adversaries) under the minimal complexity assumption that one-way functions exist. Consequently, one-way functions suffice to give statistical zero-knowledge arguments for any NP statement (whereby even a computationally unbounded adversarial verifier learns nothing other than the fact that the assertion being proven is true, and no polynomial-time adversarial prover can convince the verifier of a false statement). These results resolve an open question posed by Naor et al. [J. Cryptology, 11 (1998), pp. 87-108].