大数据移动通信网络数据交换隐私隐写加密  

Privacy Steganalysis of Data Exchange in Big Data Mobile Communication Network

作　　者：唐新梅 覃开贤 TANG Xin-mei;QIN Kai-xian(College of Landscape Architecture,Sichuan Agricultural University,Ya'an Sichuan 625014,China;Nanning Normal University,Nanning Guangxi 530299,China)

机构地区：[1]四川农业大学风景园林学院,四川雅安625014 [2]南宁师范大学,广西南宁530299

出　　处：《计算机仿真》2022年第6期403-407,共5页Computer Simulation

基　　金：2020年度教育部人文社科研究司项目(大数据背景下高校学生思想引领创新研究与实践)(20JDSZ3049)。

摘　　要：针对传统通信网络数据交换隐私隐写加密方法的数据融合效果不理想,加密时间过长等问题,提出一种新的大数据移动通信网络数据交换隐私隐写加密解决以上问题。根据时分复用理论组构建最大独立集为基础的树形结构;采用能量消耗预测方法调整数据融合平衡系数,通过近似最大权独立集进行通信链路传输时隙分配;依据大数据移动通信网络数据的相关性,对隐私数据进行信源编码,实现大数据移动通信网络数据交换隐私隐写加密。仿真结果表明,所提算法能够有效增加节点生命周期,提升加密效率,降低运算开销。Traditionally, the data exchange privacy steg-analysis method has some defects, such as poor data fusion effect and long encryption time. Therefore, this paper proposes a new privacy steg-analysis method for big data mobile communication network data exchange. Firstly, the tree structure based on the maximum independent set was constructed by the time-division multiplexing theory group. Secondly, the energy consumption prediction method was adopted to adjust the data fusion balance coefficient, and the communication link transmission time slot was allocated according to the approximate maximum weight independent set. Finally, the private data was encoded by the source via the correlation of big data mobile communication network data, achieving the privacy steg-analysis of big data mobile communication network data exchange. The simulation results show that the algorithm has a long node life cycle, high encryption efficiency and low operation cost.

关 键 词：大数据 移动通信 网络数据交换 隐私隐写 加密 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]