PPDM for Medical Data using Visual Cryptography
Subhashree.P1, G.Gunasekaran2

1Mrs.Subhashree.P, Research Scholar, Sathyabama Institute of Science and Technology.
2Dr. G.Gunasekaran, Principal, J.N.N Institute of Engineering
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2224-2227 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3012129219/2019©BEIESP | DOI: 10.35940/ijeat.B3012.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Privacy preserving data mining is a growing field with advancements reported frequently. In this paper, for maintaining privacy of medical data of patients, a novel visual crypto technique of peeling with modular scheme is proposed. In this work, using the concept of group theory, PPDM for medical data is done using Verilog.
Keywords: Visual Cryptography,Concurrency, Image Slicing, privacy preservation.