公开网页信息中隐私数据超混沌加密算法研究

Research on Hyperchaotic Encryption Algorithm of Private Data in Open Web Information

为了提高公开网页信息中隐私数据的加密性能,提出了基于超混沌密钥设计的公开网页信息中隐私数据加密算法。构建了公开网页信息中隐私数据加密的向量量化编码模型;采用混沌密钥协议控制方法进行公开网页信息中隐私数据加密过程中的算术编码和量化参数寻优;建立了公开网页信息中隐私数据加密的保护控制算法方程,引入Logistics混沌映射作为引导算子,进行了公开网页信息中隐私数据加密过程中的解密密钥设计,采用双线性编码和空间多维参数量化均衡调度,实现了公开网页信息中隐私数据超混沌加密。仿真结果表明,采用该方法进行公开网页信息中隐私数据超混沌加密的加密输出的稳态性较强、实时性较高,提高了公开网页信息中隐私数据保护能力。

In order to improve the encryption performance of private data in public webpage information, an encryption algorithm for private data in public webpage information based on hyperchaotic key design is proposed. This paper aims to construct a vector quantization coding model for private data encryption in public web information, and use the chaotic key agreement control method to optimize arithmetic coding and quantization parameters in the private data encryption process in public web information. The protection and control algorithm of privacy data encryption in public web information is established. This paper introduces the Logistic chaotic map as a guide operator to design the decryption key in the encryption process of private data in the public web page information, and uses bilinear coding and spatial multi-dimensional parameter quantization and balanced scheduling to realize the hyper-chaos of private data in the public web page information encryption. The simulation results show that using this method for hyperchaotic encryption of private data in public webpage information has better random scrambling, stronger stability of encrypted output, and higher real-time performance, which improves the ability of private data protection in public webpage information.