A Novel Scheme for Securing Medical Data by using Hybrid Privacy Preserving Mechanism in Healthcare Application

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-37 Number-3
Year of Publication : 2016
Authors : M.Rameshkumar, Dr. V.Lakshmiprabha
  10.14445/22312803/IJCTT-V37P121

MLA

M.Rameshkumar, Dr. V.Lakshmiprabha "A Novel Scheme for Securing Medical Data by using Hybrid Privacy Preserving Mechanism in Healthcare Application". International Journal of Computer Trends and Technology (IJCTT) V37(3):110-116, July 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Data mining techniques help clinician make proper decisions in health care applications. The benefits of clinical decision support system include not only improving diagnosis of illness accuracy but also reducing identification time. Specifically, with massive amounts of clinical data generated every day, decision tree algorithm can be utilized to excavate valuable data to improve clinical decision support system. In this paper a hybrid algorithm is proposed which integrates both the homomorphic encryption and navie bayes for storing the data in database safe manner. In order to retrieve the data safely and classify the abnormal and normal data fuzzy based system is employed here.

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Keywords
encryption, Privacy preserving technique, Navie Bayesian, Fuzzy logic.