时滞相关Logistic函数浮点数据模糊加密稀疏集构造

Sparse Set Structure of Floating-point Data Fuzzy Encryption Based on Delay Dependent Logistic Function

提出一种基于时滞相关Logistic函数线性调频采样的浮点数据模糊加密算法优化技术,给出时滞相关Logistic函数及相关定义,研究了浮点数据的模糊编码算法,设计实时交互网络的浮点数据模糊加密方案,实现密钥稀疏集构造,采用基于稀疏矩阵的存储格式下的时滞相关Logistic函数浮点数据加密运算,构造密钥稀疏集,优化了算法性能。仿真结果表明,算法数据加密和解密性能较好,具有较高的数据吞吐量,能实现对大数据库的数据加密,提高了密文的不可预测性。

A sample Logistic function linear frequency based on the delay of floating-point data encryption algorithm for fuzzy optimization techniques is proposed, given the delay dependent Logistic function and definition of fuzzy coding algorithm, floating-point data, floating-point data design of real-time interactive network fuzzy encryption scheme is obtained.Realize the key sparse set structure, using encryption delay dependent Logistic function point data storage format based on the sparse matrix, key sparse sets are constructed, the performance of the algorithm is optimized. The simulation results show that, the algorithm of data encryption and decryption performance is good, the data throughput is higher, it can realize the data encryption of database, the cipher text is unpredictable.