Towards using physiological signals as cryptographic keys in body area networks

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Tarih

2015

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Yayıncı

Institute of Electrical and Electronics Engineers

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Body Area Networks (BANs) are the most important building stone of pervasive healthcare, which enables remote, continuous and real-time health monitoring. Biosensors, constituting the BANs, collect highly sensitive medical information from their hosts and communicate these data. Considering the nature of the wireless medium, the privacy requirements of the individuals and the extreme energy and storage limitations of the biosensors, BANs require a light-weight and secure key management infrastructure. It has been suggested that the security of a BAN can be guaranteed using the body itself as the communication channel by means of bio-cryptography. Explicitly, physiological parameters generated from different body parts are used to protect the data exchanged among the biosensors. In this paper, we (i) define a novel physiological parameter generation technique, and (ii) identify and evaluate an appropriate physiological parameter that can be used in a bio-cryptographic key management protocol, namely the inter-pulse interval (IPI). For experimental data analysis, we use the blood pressure (BP) signal, for the first time in the literature, together with the electrocardiogram (ECG) and photoplethysmogram (PPG) signals. Our results show that the IPI values derived from the ECG, PPG and BP signals are good candidates of physiological parameters that can be used as cryptographic keys in order to ensure secure key management in BANs.

Açıklama

9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) -- May 20-23, 2015 -- Bogazici University, Istanbul, Turkey
WOS: 000379199200014

Anahtar Kelimeler

Cryptographic Key Generation, Body Area Networks, Physiological Signals, Key Management, Network Security, Bio-cryptography

Kaynak

9th International Conference on Pervasive Computing Technologies for Healthcare

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N/A

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Künye

Karaoğlan Altop, D., Levi, A. ve Tuzcu, V. (2015). Towards using physiological signals as cryptographic keys in body area networks. Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare, 9th International Conference on Pervasive Computing Technologies for Healthcare içinde (92-99. ss.). Bogazici University, Istanbul, Turkey, May 20-23, 2015. https://dx.doi.org/10.4108/icst.pervasivehealth.2015.260074