多k位数阈值的谓词加密方案

MULTI K-BIT THRESHOLD PREDICATE ENCRYPTION SCHEME

  • 摘要: 现有支持比较大小的谓词加密方案没有考虑属性值的排序位置,且大多数方案没有实现更强的隐私性——属性隐藏。针对这两个问题,提出一种具有属性隐藏的多k位数阈值谓词加密方案。设计一种新的编码,将多个排序后的属性值和多个阈值的比较大小转化为多内积问题;采用对偶向量空间上的内积加密技术,构造随机数等式实现多内积问题;构造属性盲化方法实现属性隐藏。安全性证明和性能分析表明,所提方案在标准模型下是可以抵抗选择明文攻击的,且具备较好的存储性能。

     

    Abstract: The existing predicate encryption schemes supporting comparison queries do not consider the rank position of attribute values, and most of the schemes are unable to support attribute hiding. Aiming at these problems, we propose a multi k-bit threshold predicate encryption scheme with attribute-hiding. It developed a new encoding for multiple comparisons between Kth-ranked attribute values and thresholds which could convert to the multi-inner product problem. Based on dual-pairing vector space, the scheme leveraged an inner product encryption technique and constructed a random number equation to realize the multi-inner product problem. The blind method of attributes was constructed to achieve attribute-hiding. Security analysis and theoretical comparisons show that the proposed scheme can resist selective plaintext attacks under the standard model, and has good storage performance compared with existing schemes.

     

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