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How to Construct Cryptosystems and Hash Functions in Weakened Random Oracle Models

机译:如何在弱随机Oracle模型中构造密码系统和哈希函数

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Weakened Random Oracleモデルでの,暗号アルゴリズムの構成法とハッシュ関数の構成法について議論する.%In this paper, we discuss how to construct secure cryptosystems and secure hash functions in weakened random oracle models. The weakened random oracle model (WROM), which was introduced by Numayama et al. at PKC 2008, re­flects recent attacks on hash functions. Though the security of cryptosystems in the random oracle model, ROM, has been discussed sufficiently, the same is not true for WROM. A few cryptosystems have been proven secure in WROM. In this paper, we will propose a new conversion that can convert any cryptosystem secure in ROM to a new cryptosystem that is secure in the first preimage tractable random oracle model FPT-ROM without re-proof. FPT-ROM is ROM without preimage resistance and so is the weakest of the WROM models. Since there are many secure cryptosystems in ROM, our conversion can yield many cryptosystems secure in FPT-ROM. The fixed input length weakened random oracle model, FIL-WROM, introduced by Liskov at SAC 2006, reflects the known weakness of compression functions. We will propose new hash functions that are indifferentiable from RO when the underlying compression function is modeled by a two-way partially-specified preimage-tractable fixed input length random oracle model (TFILROM). TFILROM is FIL-ROM without two types of preimage resistance and is the weakest of the FIL-WROM models. The proposed hash functions are more efficient than the existing hash functions which are indifferentiable from RO when the underlying compression function is modeled by TFILROM.
机译:在本文中,我们讨论了如何在弱化的随机预言模型中构造安全密码系统和安全散列函数。 Numayama等人介绍的弱化随机预言模型(WROM)。在PKC 2008上,反映了最近对哈希函数的攻击。尽管已经充分讨论了随机预言模型ROM中密码系统的安全性,但WROM并非如此。事实证明,一些密码系统在WROM中是安全的。在本文中,我们将提出一个新的转换方法,该转换方法可以将ROM中安全的任何密码系统转换为在第一个预映像可处理随机Oracle模型FPT-ROM中安全的新密码系统,而无需重新验证。 FPT-ROM是没有原像抵抗的ROM,因此是WROM模型中最弱的。由于ROM中有许多安全密码系统,因此我们的转换可以产生许多FPT-ROM中安全的密码系统。 Liskov在SAC 2006上推出的固定输入长度弱化的随机Oracle模型FIL-WROM反映了压缩功能的已知弱点。当基础压缩函数由双向部分指定的前映像可处理固定输入长度随机预言模型(TFILROM)建模时,我们将提出与RO不可区分的新哈希函数。 TFILROM是没有两种类型的原像电阻的FIL-ROM,并且是FIL-WROM型号中最弱的一种。当底层压缩函数由TFILROM建模时,所提出的哈希函数比现有的哈希函数更有效,而现有的哈希函数与RO不可区分。

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