TY - JOUR
T1 - CONTEXT-AWARE SECURITY MODES FOR MEDICAL DEVICES
AU - Riegler, Michael
AU - Sametinger, Johannes
AU - Rozenblit, Jerzy W.
N1 - Funding Information:
This work has partially been supported by the LIT Secure and Correct Systems Lab funded by the State of Upper Austria, the Austrian Marshall Plan Foundation, and the National Science Foundation under Grant Number 1622589 “Time-Centric Modeling of Correct Behaviors for Efficient Non-intrusive Runtime Detection of Unauthorized System Actions." Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the supporting organizations.
Publisher Copyright:
© 2022 Society for Modeling & Simulation International (SCS)
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - context-awareness
KW - medical devices
KW - resilience
KW - security modes
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M3 - Conference article
AN - SCOPUS:85146934830
SN - 0735-9276
VL - 54
SP - 395
EP - 405
JO - Simulation Series
JF - Simulation Series
IS - 1
T2 - 2022 Annual Modeling and Simulation Conference, ANNSIM 2022
Y2 - 18 July 2022 through 20 July 2022
ER -