Privacy preserving of two sixteen-segmented image using visual cryptography

Author(s):  
Imon Mukherjee ◽  
Ritam Ganguly

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.


In this paper, visual cryptography concept is used for preserving the privacy of sensitive data used for pharmacovigilance. Overall analysis of adverse events of a specific drug helps in finding the potential danger of using the a specific drug. Preserving data owners privacy is done by using visual cryptography technique. Tetracycline drugs adverse effect present in FAERS dataset is extracted, encrypted and decrypted by the novel methodology proposed.


2012 ◽  
Vol 3 (3) ◽  
pp. 60-61
Author(s):  
V.Sajeev V.Sajeev ◽  
◽  
R.Gowthamani R.Gowthamani

Author(s):  
Haruna HIGO ◽  
Toshiyuki ISSHIKI ◽  
Kengo MORI ◽  
Satoshi OBANA

Sign in / Sign up

Export Citation Format

Share Document