A cyber-physical approach to trustworthy operation of health monitoring systems

Krishna K. Venkatasubramanian, Ayan Banerjee, Sandeep Gupta, Robert J. Walls

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Continuous health monitoring system (CHMS) are a collection of networked sensing devices that continuously monitor a user who is carrying them. The sensors can be worn by the user (e.g., fitbit or jawbone) or be part of a device that user carries (e.g., smartphones). Trustworthy operation is essential for CHMS due to the sensitive nature of the information they collect and the wireless transmission of the data to a sink/basestation entity for transport to a medical cloud for long term storage in a patient health record (PHR). In this regard, in the past we have proposed a scheme known as Physiological signal-based Key Agreement (PKA) to enable plug-n-play (i.e., transparent to the user in terms of configuration or setup) information security between wearable sensors that had access to same physiological signals (e.g., ECG, PPG). In this paper, we present Physiology-based System-wide Information Security (PySIS), which uses the concept of generative models (which generate synthetic physiological signals for a user) to extend PKA to enable end-To-end information security in CHMS from the sensors to the PHR. The crucial difference is that now we do not need to have access to the same physiological signals at both ends for our protocol to work. In addition, if PySIS fails and data leakage occurs in the system, we also propose a logging mechanism to perform forensic analysis of the system.

Original languageEnglish (US)
Title of host publication2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538604342
DOIs
StatePublished - Jun 26 2018
Event2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - San Francisco, United States
Duration: Apr 4 2017Apr 8 2017

Publication series

Name2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings

Other

Other2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
CountryUnited States
CitySan Francisco
Period4/4/174/8/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality
  • Urban Studies

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