Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks

Tobias Calek; Pablo Groeneveld; Kinga Petho; Quinty Sami; Debby Bouma; Jan Treur; Peter H.M.P. Roelofsma

doi:10.1007/978-3-032-22236-7_5

Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks

Tobias Calek
, Pablo Groeneveld
, Kinga Petho
, Quinty Sami
, Debby Bouma
, Jan Treur^*
, Peter H.M.P. Roelofsma

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

As the medical field starts to adapt IoT technologies and other smart solutions, several domains become susceptible to cyberattacks, due to the crucial nature of their work and the high amount of sensitive data they handle. The research reported here focuses on evaluating fault detection in medical IoT devices in Intensive Care exposed to cyberattacks through computational analysis. The computational method used is adaptive dynamical system modeling via adaptive self-modeling temporal-causal networks.

Original language	English
Title of host publication	Focus on Artificial Intelligence in Intelligent Systems Design - Proceedings of 9th Computational Methods in Systems and Software 2025
Editors	Radek Silhavy, Petr Silhavy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	56-76
Number of pages	21
ISBN (Print)	9783032222350
DOIs	https://doi.org/10.1007/978-3-032-22236-7_5
Publication status	Published - 2026
Event	9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025 - Zlín, Czech Republic Duration: 1 Oct 2025 → 3 Oct 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1901 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025
Country/Territory	Czech Republic
City	Zlín
Period	1/10/25 → 3/10/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

Computational analysis
Cyberattacks
Medical IoT devices

Access to Document

10.1007/978-3-032-22236-7_5

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Calek, T., Groeneveld, P., Petho, K., Sami, Q., Bouma, D., Treur, J., & Roelofsma, P. H. M. P. (2026). Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks. In R. Silhavy, & P. Silhavy (Eds.), Focus on Artificial Intelligence in Intelligent Systems Design - Proceedings of 9th Computational Methods in Systems and Software 2025 (pp. 56-76). (Lecture Notes in Networks and Systems; Vol. 1901 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-22236-7_5

Calek, Tobias ; Groeneveld, Pablo ; Petho, Kinga et al. / Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks. Focus on Artificial Intelligence in Intelligent Systems Design - Proceedings of 9th Computational Methods in Systems and Software 2025. editor / Radek Silhavy ; Petr Silhavy. Springer Science and Business Media Deutschland GmbH, 2026. pp. 56-76 (Lecture Notes in Networks and Systems).

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title = "Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks",

abstract = "As the medical field starts to adapt IoT technologies and other smart solutions, several domains become susceptible to cyberattacks, due to the crucial nature of their work and the high amount of sensitive data they handle. The research reported here focuses on evaluating fault detection in medical IoT devices in Intensive Care exposed to cyberattacks through computational analysis. The computational method used is adaptive dynamical system modeling via adaptive self-modeling temporal-causal networks.",

keywords = "Computational analysis, Cyberattacks, Medical IoT devices",

author = "Tobias Calek and Pablo Groeneveld and Kinga Petho and Quinty Sami and Debby Bouma and Jan Treur and Roelofsma, \{Peter H.M.P.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025 ; Conference date: 01-10-2025 Through 03-10-2025",

year = "2026",

doi = "10.1007/978-3-032-22236-7\_5",

language = "English",

isbn = "9783032222350",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

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Calek, T, Groeneveld, P, Petho, K, Sami, Q, Bouma, D, Treur, J & Roelofsma, PHMP 2026, Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks. in R Silhavy & P Silhavy (eds), Focus on Artificial Intelligence in Intelligent Systems Design - Proceedings of 9th Computational Methods in Systems and Software 2025. Lecture Notes in Networks and Systems, vol. 1901 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 56-76, 9th International Conference on Computational Methods in Systems and Software, CoMeSySo 2025, Zlín, Czech Republic, 1/10/25. https://doi.org/10.1007/978-3-032-22236-7_5

Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks. / Calek, Tobias; Groeneveld, Pablo; Petho, Kinga et al.
Focus on Artificial Intelligence in Intelligent Systems Design - Proceedings of 9th Computational Methods in Systems and Software 2025. ed. / Radek Silhavy; Petr Silhavy. Springer Science and Business Media Deutschland GmbH, 2026. p. 56-76 (Lecture Notes in Networks and Systems; Vol. 1901 LNNS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Calek, Tobias

AU - Groeneveld, Pablo

AU - Petho, Kinga

AU - Sami, Quinty

AU - Bouma, Debby

AU - Treur, Jan

AU - Roelofsma, Peter H.M.P.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - As the medical field starts to adapt IoT technologies and other smart solutions, several domains become susceptible to cyberattacks, due to the crucial nature of their work and the high amount of sensitive data they handle. The research reported here focuses on evaluating fault detection in medical IoT devices in Intensive Care exposed to cyberattacks through computational analysis. The computational method used is adaptive dynamical system modeling via adaptive self-modeling temporal-causal networks.

AB - As the medical field starts to adapt IoT technologies and other smart solutions, several domains become susceptible to cyberattacks, due to the crucial nature of their work and the high amount of sensitive data they handle. The research reported here focuses on evaluating fault detection in medical IoT devices in Intensive Care exposed to cyberattacks through computational analysis. The computational method used is adaptive dynamical system modeling via adaptive self-modeling temporal-causal networks.

KW - Computational analysis

KW - Cyberattacks

KW - Medical IoT devices

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Calek T, Groeneveld P, Petho K, Sami Q, Bouma D, Treur J et al. Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks. In Silhavy R, Silhavy P, editors, Focus on Artificial Intelligence in Intelligent Systems Design - Proceedings of 9th Computational Methods in Systems and Software 2025. Springer Science and Business Media Deutschland GmbH. 2026. p. 56-76. (Lecture Notes in Networks and Systems). Epub 2026 May 1. doi: 10.1007/978-3-032-22236-7_5

Computational Analysis of Fault Detection in Medical IoT Devices in Intensive Care Exposed to Cyberattacks

Abstract

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Bibliographical note

Keywords

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