Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i48/93737
Year: 2016, Volume: 9, Issue: 48, Pages: 1-5
Original Article
T. Nusrat Jabeen1* and M. Chidambaram2
1 Department of Computer Science, Bharathiyar University, Coimbatore, Tamil Nadu, India; [email protected]
2 Computer Science Department, Rajah Serfoji Government College, Thanjavur, Tamil Nadu, India; [email protected]
In this paper, we present a privacy preserving association rule mining method in distributed environments. The proposed method uses FP-growth algorithm and combination of elliptic curve cryptography and digital signature. The proposed method is low in cost for both computation and communication. This method uses associative third party, which is the central authority, holding common cryptographic keys of all the sites and responsible for performing distributed ARM. This method maintains privacy regardless of any number of dishonest sites in the distributed environment.
Keywords: Association Rule Mining, ARM, Cryptography, Digital Signature, Elliptic Curve, FP-Growth, Privacy in ARM
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