Context-Aware Security Modes For Medical Devices

Michael Riegler, Johannes Sametinger, Jerzy W. Rozenblit

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

Abstract

Medical devices require the provision of life-critical functionality even under adverse conditions. We imagine to model (at design time) and to switch (at run-time) security modes in a self-adaptive way, thus, reducing attack surfaces in case of a malfunction, attack, or when vulnerabilities become known. Modes return back to normal when patches are provided and installed. Context-aware devices can resiliently provide a degraded mode of operation with a smaller attack surface instead of completely disabling the whole system or a device recall. Healthcare organizations and patients should actively protect themselves by implicitly or explicitly switching to modes with limited activity ranges for attackers. We use simulation to check all circumstances and the self-healing functionality to return to normal mode. In this paper, we present our ongoing work to make medical devices more secure. We discuss how modes can support that, how they are defined, and what challenges they provide.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022
EditorsCristina Ruiz Martin, Niloufar Emami, Maria Julia Blas, Roya Rezaee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372-382
Number of pages11
ISBN (Electronic)9781713852889
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 Annual Modeling and Simulation Conference, ANNSIM 2022 - San Diego, United States
Duration: Jul 18 2022Jul 20 2022

Publication series

NameProceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022

Conference

Conference2022 Annual Modeling and Simulation Conference, ANNSIM 2022
Country/TerritoryUnited States
CitySan Diego
Period7/18/227/20/22

Keywords

  • context-awareness
  • medical devices
  • resilience
  • security modes

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modeling and Simulation
  • Decision Sciences (miscellaneous)

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