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A Novel Framework using Elliptic Curve Cryptography for Extremely Secure Transmission in Distributed Privacy Preserving Data Mining
Author(s) -
P Kiran
Publication year - 2012
Publication title -
advanced computing an international journal
Language(s) - English
Resource type - Journals
eISSN - 2229-726X
pISSN - 2229-6727
DOI - 10.5121/acij.2012.3210
Subject(s) - elliptic curve cryptography , computer science , cryptography , transmission (telecommunications) , secure transmission , computer security , public key cryptography , encryption , telecommunications
Privacy Preserving Data Mining is a method which ensures privacy of individual information during mining. Most important task involves retrieving information from multiple data bases which is distributed. The data once in the data warehouse can be used by mining algorithms to retrieve confidential information. The proposed framework has two major tasks, secure transmission and privacy of confidential information during mining. Secure transmission is handled by using elliptic curve cryptography and data distortion for privacy preservation ensuring highly secure environment.

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