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

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


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
ID Code:33522
Deposited By:Duygu Karaoğlan Altop
Deposited On:11 Sep 2017 15:52
Last Modified:01 Aug 2019 15:46

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