计算机科学 ›› 2012, Vol. 39 ›› Issue (12): 158-161.
• 数据库与数据挖掘 • 上一篇 下一篇
杨绍禹 王世卿
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摘要: 在对海量数据进行分析和处理的过程中,敏感信息的隐私保护显得尤为重要。针对统计类型数据分析服务 的效率和安全问题,在Map-Reduce计算模型的基础上引入差别隐私保护机制。在该模型上提出一种带有隐私保护 的决策树生成算法,并证明其满足二差别隐私。实验表明,该算法具有良好的分类精度和满意的计算效率。
关键词: Map-Rcducc,差别隐私,统计数据,并行计算,决策树生成算法
Abstract: In analyzing and processing of the large-scale database,itis crucial for protecting the privacy of sensitive da- ta. In order to analyze the service efficient and security for the mass data with statistical character, the mechanism with diffcrcntial privacy was implcmcntcd in the Map-Rcducc computation model. A decision trcc's gcncration algorism was proposed at the computation model,and proved to satisfy the } differential privacy. The experiment indicates that the algorism has well classification accuracy and computation efficiency.
Key words: Map-Rcducc, Differential privacy, Statistical data, Parallel computing, Decision tree generation algorism
杨绍禹 王世卿. MapReduce模型下数据隐私保护机制研究[J]. 计算机科学, 2012, 39(12): 158-161. https://doi.org/
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