多维异构网络数据智能预加密云推送方法研究

Research on Multi-Dimensional Heterogeneous Network Data Intelligent Pre Plus Dense Cloud Push Method

由于多维异构网络数据在推送过程中存在安全性较差、推送偏差等问题,研究提出一种多维异构网络数据智能预加密云推送方法。通过不同服务器内的云数据获取数据主成分信息,快速分类数据源内的同构、异构数据。引用全同态加密算法加密明文数据,并将全部密文分块整合为完整密文数据,完成数据智能预加密,提高数据推送安全性。构建云推送平台,利用对数计算李雅普诺夫函数优化方法,降低信道自身传输噪声,向用户推送信息。仿真结果表明,所提方法向用户推送信息过程所消耗的通信量较少,信息留存率高于58%,为用户推送的信息较可靠。

Due to the problems of security and deviation during the multidimensional heterogeneous network data push, this study proposed an intelligent pre-encryption cloud push method for multidimensional heterogeneous network data. The cloud data in different servers were used to obtain the principal component information of data, and then isomorphic data and heterogeneous data in the data source were classified quickly. The full homomorphic encryption algorithm was used to encrypt the plaintext data. Meanwhile, all ciphertext blocks were integrated into complete ciphertext data, so that the intelligent pre-encryption was completed. Thus, the security of the data push was improved. The cloud push platform was constructed, and the Lyapunov function optimization method based on logarithmic computation was used to reduce the transmission noise of the channel, and thus to push information to users. Simulation results show that the proposed method consumes less communication traffic. Meanwhile, the information retention rate is more than 58%. Therefore, the information is more reliable.