Improved AES for Data Security in E-Health

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Aashmeen Jammu
Dr. Harjinder Singh

Abstract

In the last few years, there is transformation in quality of e-healthcare services provided by healthcare organizations. The patients’ data is recorded in the digital form on the systems and communicated on the wireless network. Provision of security and resolving wireless attacks such as replay attack, eavesdropping, denial-of-service attack is the major concern. In the paper, improved AES algorithm is designed with one time padding of data to resolve reply attack on the wireless network. The simulation of algorithm is done in MATLAB 2014a. The performance and comparative analysis is done on the basis of different parameters such as avalanche effect, correlation factor, and execution time between existing and improved AES.

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References

Pardeep Kumar and Hoon-Jae Lee, “Security Issues in Healthcare Applications Using Wireless Medical Sensor Network: A Survey,†Sensors, Vol. 12, pp. 55-91, December 2011.

Patience E. Idoga, Mary Agoyi, Elizabeth Y. Coker-Farrell, and Gazi L. Ekeoma, “Review of Security Issues in E-Healthcare and Solutions,†IEEE conference on HONET-ICT, pp.118-121, October 2016.

Puneet Kumar and Shashi B.Rana, “Development of Modified AES Algorithm for Data Security,†Optik Journal, Vol. 127, pp. 2341-2345, November 2015.

Van-Phuc Hoang, Thi-Thanh-Dung Phan, Van-Lan Dao, and Cong-Kha Pham, “A Compact, Ultra-Low Power AES-CCM IP core for Wireless Body Area Network,†IFIP/IEEE International Conference on Very Large Scale Integration, November 2016.

Omar Cheikhrouhou, “Secure Group Communication on Wireless Sensor Networks: A Survey,†Journal of Network and Computer Applications, Vol. 61, pp. 115-132, November 2015.

Umar Farooq and M. Faistal Aslam, “Comparative Analysis of different AES Implementation Techniques for Efficient Resources Usage and Better performance,†Journal of King Saud University-Computer and Information Sciecne, 2016.

Daemen, J., Rijmen, V., 2000. The block cipher Rijndael, 1820, 277–284.

Gaurav Bansod, Narayan Pisharoty, and Abhijit Patil , “BORON: an ultra lightweight and low power Encryption Design for Pervasive Computing,†Frontiers of Information Technology and Electronic Engineering, Vol. 18, pp. 317-331, 2017.