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DOI: 10.14569/IJACSA.2017.080724
PDF

Efficient Key Agreement and Nodes Authentication Scheme for Body Sensor Networks

Author 1: Jawaid Iqbal
Author 2: Noor ul Amin
Author 3: Arif Iqbal Umar
Author 4: Nizamud Din

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 7, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Technological evolvement of Wireless Sensor Networks (WSNs) gave birth to an attractive research area for health monitoring called Body Sensor Network (BSN). In BSN tiny sensor nodes sense physiological data of patients under medical health care and transmit this data to Base Station (BS) and then forward to Medical Server (MS). BSN is exposed to security threats due to vulnerable wireless channel. Protection of human physiological data against adversaries is a major addressable issue while keeping constrained resources of BSN under consideration. Our proposed scheme consists of three stages. In first stage deployment of initial secret key by the ward Medical Officer (MO), in second stage secure key exchange and node authentication, in third stage secure data communication are performed. We have compared our proposed scheme with three existing schemes. Our scheme is efficient in computation cost, communication overhead and storage as compared to existing schemes while providing enough security against the adversaries.

Keywords: Body sensor network; hash function; node authentication; key agreement; session key

Jawaid Iqbal, Noor ul Amin, Arif Iqbal Umar and Nizamud Din, “Efficient Key Agreement and Nodes Authentication Scheme for Body Sensor Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080724

@article{Iqbal2017,
title = {Efficient Key Agreement and Nodes Authentication Scheme for Body Sensor Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080724},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080724},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Jawaid Iqbal and Noor ul Amin and Arif Iqbal Umar and Nizamud Din}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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