Result Integrity Verification of Outsourced Frequent Itemset Mining

Abstract : The data-mining-as-a-service (DMaS) paradigm enables the data owner (client) that lacks expertise or computational resources to outsource its mining tasks to a third-party service provider (server). Outsourcing, however, raises a serious security issue: how can the client of weak computational power verify that the server returned correct mining result? In this paper, we focus on the problem of frequent itemset mining, and propose efficient and practical probabilistic verification approaches to check whether the server has returned correct and complete frequent itemsets.
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Communication dans un congrès
Lingyu Wang; Basit Shafiq. 27th Data and Applications Security and Privacy (DBSec), Jul 2013, Newark, NJ, United States. Springer, Lecture Notes in Computer Science, LNCS-7964, pp.258-265, 2013, Data and Applications Security and Privacy XXVII. 〈10.1007/978-3-642-39256-6_17〉
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Soumis le : mercredi 15 mars 2017 - 17:15:52
Dernière modification le : jeudi 16 mars 2017 - 09:24:25
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Boxiang Dong, Ruilin Liu, Hui Wang. Result Integrity Verification of Outsourced Frequent Itemset Mining. Lingyu Wang; Basit Shafiq. 27th Data and Applications Security and Privacy (DBSec), Jul 2013, Newark, NJ, United States. Springer, Lecture Notes in Computer Science, LNCS-7964, pp.258-265, 2013, Data and Applications Security and Privacy XXVII. 〈10.1007/978-3-642-39256-6_17〉. 〈hal-01490709〉

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