Title :
A Performance Study of Secure Data Mining on the Cell Processor
Author :
Wang, Hong ; Takizawa, Hiroyuki ; Kobayashi, Hiroaki
Author_Institution :
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai
Abstract :
This paper examines the potential of the Cell processor as a platform for secure data mining on the future volunteer computing systems. Volunteer computing platforms have the potential to provide massive computing power. However, privacy and security concerns prevent using volunteer computing for data mining of sensitive data. The Cell processor comes with a hardware security feature. The secure volunteer data mining can be achieved by using this hardware security feature. In this paper, we present a general security scheme for the volunteer computing, and a secure parallelized K-Means clustering algorithm for the Cell processor. We also evaluate the performance of the algorithm on the Cell secure system simulator. Evaluation results indicate that the proposed secure data clustering outperforms a non-secure clustering algorithm on the general purpose CPU, but incurs a huge performance overhead introduced by the decryption process of the Cell security features.
Keywords :
data mining; data privacy; parallel algorithms; parallel machines; pattern clustering; security of data; Cell processor; data privacy; hardware security feature; massive computing; parallelized K-means clustering algorithm; secure data mining; volunteer computing system; Clustering algorithms; Concurrent computing; Cryptography; Data mining; Data privacy; Data processing; Data security; Hardware; Information security; Power system security; Data Clustering; Performance Evaluation; Security; Volunteer Computing;
Conference_Titel :
Cluster Computing and the Grid, 2008. CCGRID '08. 8th IEEE International Symposium on
Conference_Location :
Lyon
Print_ISBN :
978-0-7695-3156-4
Electronic_ISBN :
978-0-7695-3156-4
DOI :
10.1109/CCGRID.2008.16