title   
  

Feature-level fusion of physiological parameters to be used as cryptographic keys

Karaoğlan Altop, Duygu and Levi, Albert and Tuzcu, Volkan (2017) Feature-level fusion of physiological parameters to be used as cryptographic keys. In: IEEE International Conference on Communications (ICC 2017), Paris, France

This is the latest version of this item.

[img]PDF - Registered users only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
518Kb

Official URL: http://dx.doi.org/10.1109/ICC.2017.7996338

Abstract

In this paper, we propose two novel feature-level fused physiological parameter generation techniques: (i) concat-fused physiological parameter generation, and (ii) xor-fused physiological parameter generation, output of which can be used to secure the communication among the biosensors in Body Area Network (BAN). In these physiological parameter generation techniques, we combine a time-domain physiological parameter with a frequency-domain physiological parameter, in order to achieve robust performance compared to their singular versions. We analyze both the performance and the quality of the outcomes. Our results show that we generate good candidates of physiological parameters that can be used as cryptographic keys to provide security for the intra-network communication in BANs.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:Cryptographic Key Generation; Body Area Network Security; Physiological Signals; Key Agreement; Biocryptography; Feature-Level Fusion
Subjects:UNSPECIFIED
ID Code:33522
Deposited By:Duygu Karaoğlan Altop
Deposited On:11 Sep 2017 15:52
Last Modified:11 Sep 2017 15:52

Available Versions of this Item

Repository Staff Only: item control page