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Compression Functions Suitable for the Multi-Property-Preserving Transform

机译:适用于多属性保留变换的压缩函数

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摘要

Since Bellare and Ristenpart showed a multi-property preserving domain extension transform, the problem of the construction for multi-property hash functions has been reduced to that of the construction for multi-property compression functions. However, the Davies-Meyer compression function that is commonly used for standard hash functions is not a multi-property compression function. That is, in the ideal cipher model, the Davies-Meyer compression function is collision resistant, but it is not indifferentiable from a random oracle. In this paper, we show that the compression function proposed by Lai and Massey is a multi-property compression function. In addition, we show that the simplified version of the Lai-Massey compression function is also a multi-property compression function. The use of these compression functions enables us to construct multi-property hash functions by the multi-property preserving domain extension transform.
机译:由于 Bellare 和 Ristenpart 展示了多属性保留域扩展变换,因此多属性哈希函数的构造问题已简化为多属性压缩函数的构造问题。但是,通常用于标准哈希函数的 Davies-Meyer 压缩函数不是多属性压缩函数。也就是说,在理想密码模型中,Davies-Meyer 压缩函数是抗碰撞的,但它与随机预言机并非无区别。在本文中,我们证明了Lai和Massey提出的压缩函数是一个多属性压缩函数。此外,我们证明了Lai-Massey压缩函数的简化版本也是一个多属性压缩函数。使用这些压缩函数使我们能够通过保留多属性的域扩展转换来构造多属性哈希函数。

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