TY  - JOUR
TI  - Maintaining Security In Distributed Association Rule Mining Process Using Elliptic Curve Cryptography And 
Key Exchange Concept

AU  - J. Sumithra Devi
AU  -  M. Ramakrishnan
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833353
VL  - 3
IS  - 3
SP  - 1911	
EP  - 1916
AB  - Association rule mining is one of the most important data mining processes which are used to generate useful patterns from huge volumes of data. It may so happen that the data source may not be from one sender and it is distributed across the world.  In this distributed architecture, maintaining privacy while transmitting the data from originator to the data mining analyzer is a biggest issue as the data is highly confidential. Usage of cryptography is having a good impact on maintaining privacy in association rule mining process.  Hence in this paper, elliptic curve cryptography based association rule mining process is presented.  Experimental result shows that the difference of accuracy while using actual data and perturbed data is very less.