ISSN : 1796-203X
Volume : 2    Issue : 2    Date : April 2007

P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
Iman Saleh and Mohamed Eltoweissy
Page(s): 1-12
Full Text:
PDF (645 KB)

The ability to mine large volumes of distributed datasets enables more precise decision making.
However, privacy concerns should be carefully addressed when mining datasets distributed over
autonomous sites. We propose a new cryptography-based Privacy-Preserving Protocol for
Association Rule Mining with t collusion resistance (P3ARM-t), where t is the threshold of number of
colluding sites. P3ARM-t is based on a distributed implementation of the Apriori algorithm. The key
idea is to arbitrary assign polling sites to collect itemsets’ supports in encrypted forms using
homomorphic encryption techniques. Polling sites are randomly assigned and are different for
consecutive rounds of the protocol to reduce the potential for collusion. Our performance analysis
shows that P3ARM-t significantly outperforms a leading existing protocol. Moreover, P3ARMt is
scalable in the number of sites and the volume of data. The protocol also decreases the potential
for collusion for up to t colluding sites.