Result Integrity Verification of Outsourced Frequent Itemset Mining
Document Type
Conference Proceeding
Publication Date
8-12-2013
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.
DOI
10.1007/978-3-642-39256-6_17
Montclair State University Digital Commons Citation
Dong, Boxiang; Liu, Ruilin; and Wang, Hui, "Result Integrity Verification of Outsourced Frequent Itemset Mining" (2013). Department of Computer Science Faculty Scholarship and Creative Works. 518.
https://digitalcommons.montclair.edu/compusci-facpubs/518