Privacy preservation in horizontally partitioned databases using randomized response technique
Information & Communication Technologies（2013）
摘要
Association rule mining finds the strong association between the large items of data sets. In this paper we mainly focus on the privacy using Ck secure sum in randomized response technique. Because when the data is distributed among different sites in horizontal partitioning across multiple sites and the sites wish to collaborate to identify valid association rule globally. However the sites must not acknowledge individual data. We presents the multi party transaction data who discover frequent item sets with minimum support, without either sites knowing the individual data.
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关键词
data mining,data privacy,distributed databases,random processes,ck secure sum,association rule,frequent item sets,horizontally partitioned database,multiparty transaction data,privacy preservation,randomized response technique,association rule mining,horizontal partitioning,modified ck secure sum,secure multi party computation,association rules,cryptography,computational modeling
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