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.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/hal-01490709
Contributor : Hal Ifip <>
Submitted on : Wednesday, March 15, 2017 - 5:15:52 PM
Last modification on : Thursday, March 16, 2017 - 9:24:25 AM
Long-term archiving on : Friday, June 16, 2017 - 2:50:16 PM

File

978-3-642-39256-6_17_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Boxiang Dong, Ruilin Liu, Hui Wang. Result Integrity Verification of Outsourced Frequent Itemset Mining. 27th Data and Applications Security and Privacy (DBSec), Jul 2013, Newark, NJ, United States. pp.258-265, ⟨10.1007/978-3-642-39256-6_17⟩. ⟨hal-01490709⟩

Share

Metrics

Record views

181

Files downloads

179