Data security among ISO/IEEE 11073 compliant personal healthcare devices through statistical fingerprinting
Abstract
The translation of healthcare data into a unified format e.g. Health Level Seven (HL7) and sensors transmitting their readings data periodically provide an excellent opportunity to incorporate statistical fingerprinting. The security of healthcare data has been of prime importance in recent years. However due to technological limitations at leaf nodes in a Healthcare Information System (HIS), it is not always possible to use cryptographic protocols for data security. A smart alternative of data obfuscation is Statistical Fingerprinting (SF). In this paper, we provide important insights into our research in healthcare data security and the use of statistical fingerprinting in HL7 communication protocols. We substantiate the conversion of sensor data through the SF into HL7 format and define policies of a seamless switch to a non HL7-based non-secure HIS to a secure HIS.
RAS ID
24669
Document Type
Conference Proceeding
Date of Publication
2017
Location of the Work
United States
School
School of Science / Security Research Institute
Copyright
metadata only record
Publisher
Institute of Electrical and Electronics Engineers
Recommended Citation
Chaudhry, J., Qidwai, U., Miraz, M. H., Ibrahim, A., & Valli, C. (2017). Data security among ISO/IEEE 11073 compliant personal healthcare devices through statistical fingerprinting. Retrieved from https://ro.ecu.edu.au/ecuworkspost2013/3581
Comments
Chaudhry, J., Qidwai, U., Miraz, M. H., Ibrahim, A., & Valli, C. (2017, May). Data security among ISO/IEEE 11073 compliant healthcare devices through statistical fingerprinting [Paper presentation]. 9th IEEE-GCC Conference and Exhibition (GCCCE), Manama, Bahrain.