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An Efficient Homomorphic Medical Image Encryption



ScienceDirect
Available online at 
www.sciencedirect.com
Procedia Computer Science 115 (2017) 643–650
1877-0509 
© 2017 The Authors. Published by Elsevier B.V.
Peer-review under responsibility of the scientific committee of the 7th International Conference on Advances in Computing &
Communications 
10.1016/j.procs.2017.09.150
10.1016/j.procs.2017.09.150
1877-0509
 
Available online at 
www.sciencedirect.com
ScienceDirect
Procedia Computer Science 00 (2017) 000–000 
 
www.elsevier.com/locate/procedia 
 
1877-0509 © 2017 The Authors. Published by Elsevier B.V. 
Peer-review under responsibility of the scientific committee of the 7th International Conference on Advances in Computing & 
Communications.
7th International Conference on Advances in Computing & Communications, ICACC-2017, 22-
24 August 2017, Cochin, India 
An Efficient Homomorphic Medical Image Encryption Algorithm 
For Cloud Storage Security 
A.M. Vengadapurvaja
*
, G. Nisha, R. Aarthy, N. Sasikaladevi 
Department of Computer Science and Engineering, School of Computing, 
 SASTRA University, Thanjavur, TN, India 
Abstract 
The Health Information Technology for Economic and clinical Health (HITECH) Act of 2009 encourages the use of 
Electronic Health Records. EHR improves the data accessibility, ease thecomputerized data updation and allows e-messaging 
between providers. Cloud computing offers various services to health care units, the data are stored in the cloud . Three important 
aspects of cloud is performance, availability and security.Hence, there is the need for efficient homomrphic crypto algorithms. 
This paper propses the efficient homomorphic encryption algorithm to encrypt the medical images and to perform useful 
operations on them without breaking the confidentiality.
© 2017 The Authors. Published by Elsevier B.V. 
Peer-review under responsibility of the scientific committee of the 7th International Conference on Advances in Computing & 
Communications. 
Keywords: Homomorphic Encryption ; Medical images ; Cloud Storage Security ; Test analysis ;

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