Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleMetrics
Research Article · Open access · Published 28 June 2014

A LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONS

S. Sangari1 & Martin Leo Manickam2

Journal of Computer Science, Volume 10, Issue 10, pp. 2088–2094 · doi.org/10.3844/jcssp.2014.2088.2094

6,893 accesses4,520 downloads8 citations (Crossref)Metrics
Cite Check for updates

Abstract

Patient health monitoring devices are flexible. Powerful ECG acquisition system is used at anytime and anywhere in the patient monitoring system. The increasing feasibility and convenience of mobile healthcare has already introduced several significant challenges in hospitals, healthcare providers, policy makers and patients. This study provides adaptive humming bird algorithm of light weight cryptography. This method has higher level of security over health care application with adaptive Humming Bird Algorithm for ECG acquisition systems which enables Intensive Care Monitoring. This study provides a key agreement scheme that allows neighboring nodes in BAN to share the common keys generated by electrocardiogram signal. The proposed ECG-humming bird key agreement scheme enables the secure communication over the WBAN. The experimental results are presented, which show that the proposed scheme provide better security performance in terms of false acceptance rate and false rejection rate than other approaches.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Sangari, S. & Manickam, M. L. (2014). A LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONS. Journal of Computer Science, 10(10), 2088–2094. https://doi.org/10.3844/jcssp.2014.2088.2094

Licence
CC BY 3.0
Issue
Volume 10, Issue 10
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
A LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONSJournal of Computer Science · Volume 10, Issue 10 · pp. 2088–2094 · CC BY 3.0Download