密钥共享下跨用户密文数据去重挖掘方法

针对当前密文数据去重挖掘方法存在去重效果较差、特征聚合能力低的问题,提出一种密钥共享下跨用户密文数据去重挖掘方法.结合非线性统计序列分析方法对密钥共享下跨用户密文数据的统计特征进行采样,通过识别不同领域的统计特征进行密文数据的线性编码设计,抽取密钥共享下跨用户密文数据的平均互信息特征量.采用匹配滤波方法实现密钥共享下跨用户密文数据的去重处理.仿真结果表明,采用该方法的去重效果较好,特征聚合能力较强.

Deduplication mining method for cross-user ciphertext data under key sharing

Aiming at the problems of poor deduplication effect and low feature aggregation ability existing in the current ciphertext data deduplication mining methods, a deduplication mining method for cross-user ciphertext data under key sharing was proposed. Combined with the nonlinear statistical sequence analysis method, the statistical features of cross-user ciphertext data under key sharing were sampled, the linear coding design of ciphertext data was accomplished by indentifying the statistical characteristics of different fields, and the average mutual information feature amount of cross-user ciphertext data under key sharing was extracted. In addition, the deduplication processing of cross-user ciphertext data under key sharing was implemented with a matched filtering method. The simulation results show that the as-proposed method has better deduplication effect and strong feature aggregation ability.