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2014 | Vol. 23 | 131--139
Tytuł artykułu

Bio-authentication for layered remote health monitor framework

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Języki publikacji
Aged people, patients with chronic disease, patients at remote location need continuous monitoring under healthcare professionals. Remote health monitor is likely to be an effective approach to provide healthcare service in a simple and cost effective way. However, effective implementation of this type of framework needs consideration of variety of security threats. In this paper, a layer based remote health monitor framework is proposed to analyze health condition of patients from remote places. Beside this, a multi-modal biometric authentication mechanism is proposed here to reduce misuse of health data and biometrics templates in heterogeneous cloud environment. Main focus of the paper is to design semi-continuous authentication mechanism after establishing mutual 1:1 trust relationship among the participants in cloud environment. Behavioral biometrics keystroke analysis is fused with physiological biometrics face recognition to enhance accuracy of authentication. Instead of considering traditional performance evaluation parameters for biometrics, this paper considers a few performance metrics for determining efficiency of semi-continuous verification of the proposed framework.

Opis fizyczny
Bibliogr. 14 poz., rys., tab., wykr.
  • Department of Computer Science nd Engineering, University of Calcutta, JD -2,Sector -III, Saltlake City, Kolkata, India
  • Faculty of Computer Science, Bialystok Institute of Technology, 45A, Wiejska Street, 15-351 Bialystok, Poland
  • Department of Computer Science nd Engineering, University of Calcutta, JD -2,Sector -III, Saltlake City, Kolkata, India
  • A. K. Chaudhury School of Information Technology, University of Calcutta, JD -2, Sector -III, Saltlake City, Kolkata, India
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  • [8] LAKSHMIPRABHA N. S., BHATTACHARYA J., MAJUMDER S., Face recognition using multimodal biometric features, In: Proceedings of International Conference on Image Information Processing (ICIIP), 2011, pp. 1-6.
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  • [10] MISHRA A., Multimodal Biometrics it is: Need for Future Systems, International Journal of Computer Applications, 2010, Vol. 3, No. 4, pp. 28-33.
  • [11] RYBNIK M., TABEDZKI M., ADAMSKI M., SAEED K., An Exploration of Keystroke Dynamics Authentication using Non-fixed Text of Various Length, In: Proceedings of International Conference on Biometrics and Kansei Engineering, 2013, pp. 245-250.
  • [12] SAMARIA F., HARTER A., Parameterisation of a stochastic model for human face identification, In: Proceedings of IEEE Workshop on applications of computer vision, 1994, pp. 138-142.
  • [13] VENKATASUBRAMANIAM K. K., GUPTA S. K. S., Security for Pervasive Health Monitoring Sensor Applications, In: Proceedings of International Conference on Intelligent Sensing and Information Processing (ICPSIP), 2006, pp. 197-202.
  • [14] YAZDANPANAH A. P., FAEZ K., AMIRFATTAHI R., Multimodal biometric system using face, ear and gait biometrics, In: Proceedings of International Conference on Information Sciences Signal Processing and their Applications (ISSPA), 2010, pp. 251 - 254.
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