Architecture for Self-protective Medical Cyber-Physical Systems

Michael Riegler, Johannes Sametinger, Jerzy W. Rozenblit

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The Internet of Medical Things (IoMT) promises to improve patient care and the efficiency of Medical Cyber-Physical Systems (MCPSs). At the same time, the connectivity increases the security risk. We aim to model Self-protective MCPSs to reduce the attack surface during runtime. Even under attack, these systems require to provide clinical function for the patients. Monitoring vulnerabilities and suspicious behavior and sharing attacker information contributes to improved security and can be the foundation for automated actions for healthcare delivery organizations. Switching between context-aware security modes provides a flexible way to protect online and offline IoMT and increase patient safety. This paper presents our ongoing work to make healthcare systems more secure. We show current security and privacy challenges, discuss how self-protective systems can overcome them, and what role IoMT devices play in that context.
Original languageEnglish
Title of host publicationInternational Conference on Database and Expert Systems Applications in Database and Expert Systems Applications - DEXA 2023 Workshops
EditorsGabriele Kotsis, Ismail Khalil, Atif Mashkoor, Johannes Sametinger, A Min Tjoa, Bernhard Moser, Maqbool Khan
Place of PublicationCham
PublisherSpringer
Pages57-66
Number of pages10
Volume1872
ISBN (Print)9783031396885
DOIs
Publication statusPublished - Aug 2023

Publication series

NameCommunications in Computer and Information Science
Volume1872 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Fields of science

  • 102 Computer Sciences

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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