TY - GEN
T1 - Result integrity verification of outsourced frequent itemset mining
AU - Dong, Boxiang
AU - Liu, Ruilin
AU - Wang, Hui
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Cloud computing
KW - data mining as a service
KW - integrity verification
UR - http://www.scopus.com/inward/record.url?scp=84881149074&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39256-6_17
DO - 10.1007/978-3-642-39256-6_17
M3 - Conference contribution
AN - SCOPUS:84881149074
SN - 9783642392559
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 258
EP - 265
BT - Data and Applications Security and Privacy XXVII - 27th Annual IFIP WG 11.3 Conference, DBSec 2013, Proceedings
T2 - 27th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2013
Y2 - 15 July 2013 through 17 July 2013
ER -