提出一种采用经典-量子ε-universal哈希类的簇态量子模糊哈希构造方法.传统哈希与模糊哈希算法不能有效抵抗量子攻击.通过采用diamond范数方法,构建了一种哈希函数类最优子集并且提供信息论意义上的更优安全性.基于量子簇态独特的物理级单向计算属性,相应算法更接近于物理可实现.进一步,构造了一种在信息安全与生物特征识别方面的隐蔽信息搜索策略.该生物识别搜索算法基于簇态量子ε-universal模糊哈希构建.该策略能有效抵抗量子算法攻击,确保数据存储安全,并降低了计算复杂度.相比于其他类似策略,此算法具有更精简的结构,理论分析表明此算法具有较高的识别效率与更好的数据安全性.
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