基于大数据技术的本地差分隐私高维数据收集算法

High Dimensional Data Collection Algorithm of Local Differential Privacy Based on Big Data Technology

现有的本地差分隐私高维数据收集算法,存在着收集数据准确性较低的缺陷,为了解决上述问题,提出基于大数据技术的本地差分隐私高维数据收集算法.描述本地差分隐私高维数据收集问题,以此为基础,搭建本地差分隐私高维数据收集架构,通过大数据技术处理高维数据,得到高维数据聚类结果,以得到的高维数据聚类结果为依据,利用分布式网络收集高维数据,实现了基于大数据技术的本地差分隐私高维数据的收集.仿真对比实验结果表明,与现有的本地差分隐私高维数据收集算法相比较,提出的本地差分隐私高维数据收集算法极大地提升了收集数据的准确性,充分说明提出的本地差分隐私高维数据收集算法具备更好的收集效果.

The current high-dimensional data collection algorithm of local differential privacy has low accuracy.Research of high-dimensional data collection algorithm of local differential privacy based on big data technology is proposed.The problem of high-dimensional data collection of local differential privacy on the basis of which a high-dimensional data collection framework of local differential privacy is built is described.The high-dimensional data was processed by big data technology,and the high-dimensional data clustering results were obtained.Based on the high-dimensional data clustering results obtained,the high-dimensional data of local differential privacy was collected by distributed network,and the high-dimensional data of local differential privacy based on big data technology was realized.The simulation results show that compared with the current local differential privacy high-dimensional data collection algorithm,the proposed local differential privacy high-dimensional data collection algorithm greatly improves the accuracy of data collection.Thus the proposed local differential privacy high-dimensional data collection algorithm has better collection effect.