A Framework for Secure Data Management for Medical Devices

Ibrahim Almazyad, Aakarsh Rao, Jerzy Rozenblit

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

Abstract

Data is a valuable currency that our modern world thrives upon. Security and privacy for data are becoming critical concerns, especially in healthcare where sensitive information is exchanged amongst the healthcare stakeholders. The protection of medical data is considerably more apparent and significant with guidelines such as HIPAA and FDA regulations in place. In this paper, we propose a methodology to ensure data security throughout the medical device life cycle, ranging from data initiation to data processing and data transmission. The goal is to facilitate communication between patients and doctors in a fast and secure manner. We propose an Adaptive Mode Selection (AMS) scheme to investigate security threats amongst system functions. A Priority-Queue Based (PQB) process is established to improve data management and data isolation within medical devices. Further, we propose an Adaptive Protocol Selection (APS) to enhance data transmission over the most appropriate communication protocol based on risk values identified by AMS. The combination of AMS, PQB and APS contributes towards delivering health services with continual secured data feeds and reduction in time of medical intervention.

Original languageEnglish (US)
Title of host publicationProceedings of the 2020 Spring Simulation Conference, SpringSim 2020
EditorsFernando J. Barros, Xiaolin Hu, Hamdi Kavak, Alberto A. Del Barrio
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781565553705
DOIs
StatePublished - May 2020
Event2020 Spring Simulation Conference, SpringSim 2020 - Virtual, Fairfax, United States
Duration: May 18 2020May 21 2020

Publication series

NameProceedings of the 2020 Spring Simulation Conference, SpringSim 2020

Conference

Conference2020 Spring Simulation Conference, SpringSim 2020
CountryUnited States
CityVirtual, Fairfax
Period5/18/205/21/20

Keywords

  • Data Management
  • Implantable Medical Devices
  • Medical Devices Security

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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