9th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Towards Using Physiological Signals as Cryptographic Keys in Body Area Networks

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2015.260074,
        author={Duygu Karaoğlan Altop and Albert Levi and Volkan Tuzcu},
        title={Towards Using Physiological Signals as Cryptographic Keys in Body Area Networks},
        proceedings={9th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2015},
        month={8},
        keywords={cryptographic key generation body area networks physiological signals key management network security bio-cryptography},
        doi={10.4108/icst.pervasivehealth.2015.260074}
    }
    
  • Duygu Karaoğlan Altop
    Albert Levi
    Volkan Tuzcu
    Year: 2015
    Towards Using Physiological Signals as Cryptographic Keys in Body Area Networks
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2015.260074
Duygu Karaoğlan Altop1,*, Albert Levi1, Volkan Tuzcu2
  • 1: Sabancı University
  • 2: İstanbul Medipol University
*Contact email: duyguk@sabanciuniv.edu

Abstract

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.