Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Risk Assessment Framework for Cyber-physical Systems in the context of IoMT devices: A closer look at a health manufacturing company
University West, School of Business, Economics and IT.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This master thesis delves into the field of cybersecurity in the context of Internet of Medical Things (IoMT) devices, particularly focusing on wearable sensor devices used in diapers and used by individual with incontinence. The study made use of the new NIS 2 Directive’s recommendation of utilizing the ENISA Risk Assessment Framework for critical infrastructure. By conducting a review of industry reports and academic research, the study identified various challenges and regulatory risks associated with Internet of Medical Things (IoMT) devices. Existing security standards and recommendations were carefully analyzed and integrated into a comprehensive risk assessment framework. The ENISA risk assessment methodology was then implemented within a health products manufacturing company, specifically evaluating risks in its Cyber-Physical Systems (CPS). The effectiveness of the methodology was assessed and compared to the ISO 14971 framework currently utilized by the company. The implementation of the ENISA framework reveals the identification of additional assets and threats, showcasing its superiority over ISO 14971 in terms of comprehensiveness and necessary steps for conducting a robust risk assessment. The study acknowledges limitations arising from restricted data availability and suggested future research to refine and validate the methodology. Overall, this research significantly contributed to enhancing the security of IoMT devices and advocated for the adoption of robust cybersecurity practices in the healthcare industry. 

Place, publisher, year, edition, pages
2023. , p. 58
Keywords [en]
Risk Assessment Framework, IoMT, CPS, Wearable Sensor, ENISA, IoT
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hv:diva-20547Local ID: EXD600OAI: oai:DiVA.org:hv-20547DiVA, id: diva2:1782945
Subject / course
Computer science
Educational program
Master in Cybersecurity
Supervisors
Examiners
Available from: 2023-07-19 Created: 2023-07-18 Last updated: 2023-07-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
School of Business, Economics and IT
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 267 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf