Research Article Open Access

SOPC BASED WIRELESS REMOTE PATIENT MONITORING USING ULTRA LIGHTWEIGHT CRYPTOGRAPHY

A. Arun1 and P. Nirmal Kumar1
  • 1 Anna University, India
Journal of Computer Science
Volume 10 No. 10, 2014, 1924-1928

DOI: https://doi.org/10.3844/jcssp.2014.1924.1928

Submitted On: 9 February 2014 Published On: 8 May 2014

How to Cite: Arun, A. & Kumar, P. N. (2014). SOPC BASED WIRELESS REMOTE PATIENT MONITORING USING ULTRA LIGHTWEIGHT CRYPTOGRAPHY. Journal of Computer Science, 10(10), 1924-1928. https://doi.org/10.3844/jcssp.2014.1924.1928

Abstract

Remote Patient Monitoring (RPM) provides flexible and powerful patient surveillance through wearable devices at anytime and anywhere. This can be achieved by using a Body Sensor Network (BSN), which is deployed on a human body for monitoring the healthcare. The mobile healthcare management with increased feasibility and handiness introduced several noteworthy challenges for the provider, policy makers, patient and hospitals. A significant challenge is to provide round-the-clock healthcare services to those patients who require it via wearable medical devices. In addition to this, the sensors collect the personal medical data where the security and privacy are important components in RPM. As a result, one of the most significant and challenging concern to deal with is how to secure the personal information of the patients and to eliminate their privacy issue. This study presents System on Programmable Chip (SoPC) implementation of Remote Patient Monitoring System (RPM) with Ultra Lightweight algorithms for security issues. Humming Bird 2 (HB-2), PRESENT and HIGHT algorithms were implemented since the wearable medical devices require fewer areas to achieve portability. The comparison results shows that Degree of Confusion of HB-2 is 50.43 which outstand the other, the efficiency of the entire algorithm implemented in SoPC are higher comparing with conventional Field Programmable Gate Array (FPGA) implementation. The comparison was extended and in Particular, power and area consumption of HB-2 is less than PRESENT and HIGHT algorithm, which is more suitable for RPM devices.

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Keywords

  • Hummingbird
  • Hight
  • Present
  • Body Sensor Network
  • System on Programmable Chip (SoPC)
  • FPGA