A Novel Framework using Elliptic Curve Cryptography for Extremely Secure Transmission in Distributed Privacy Preserving Data Mining

Autor:	Kiran, P., Kumar, S Sathish, Kavya, N. P.
Rok vydání:	2012
Předmět:	Computer Science - Databases Computer Science - Cryptography and Security
Zdroj:	Advanced Computing: An International Journal ( ACIJ ), Vol.3, No.2, March 2012
Druh dokumentu:	Working Paper
Popis:	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. Comment: 8 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1204.2610 Zobrazit plný text záznamu View this record from Arxiv