Penetration Testing for Securing IoT-Enabled Healthcare Systems: A Focus on Wearable Devices and Remote Surgery

Healthcare systems are increasingly adopting IoT-enabled solutions, from wearables to remote surgery platforms; thus, we can expect enormous cybersecurity and data protection risks. In this paper, we propose a penetration testing framework for healthcare IoT environments to assess a wide range of vulnerabilities from communication, device control, and data integrity perspectives. Abstract State Machine (ASM) modelling is used by the framework to evaluate real-world attack scenarios, and this helps improve security and compliance against HIPAA and GDPR. Gives tangible methods to improve patient safety while protecting confidential health information.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822619
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.78
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article

Penetration Testing for Securing IoT-Enabled Healthcare Systems: A Focus on Wearable Devices and Remote Surgery

Farah Al-Shareefi, Haoyu Wu, Yongle Hu, Ge Chu et al.
1 citations
Cloud Data Security Solutions
0.78
article

Penetration Testing for Securing IoT-Enabled Healthcare Systems: A Focus on Wearable Devices and Remote Surgery

Farah Al-Shareefi, Haoyu Wu, Yongle Hu, Ge Chu, Shiping Yan
article en
1 citations

Abstract

Healthcare systems are increasingly adopting IoT-enabled solutions, from wearables to remote surgery platforms; thus, we can expect enormous cybersecurity and data protection risks. In this paper, we propose a penetration testing framework for healthcare IoT environments to assess a wide range of vulnerabilities from communication, device control, and data integrity perspectives. Abstract State Machine (ASM) modelling is used by the framework to evaluate real-world attack scenarios, and this helps improve security and compliance against HIPAA and GDPR. Gives tangible methods to improve patient safety while protecting confidential health information.

Guangxi University (CN), University of Babylon (IQ), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 18%
Cloud Data Security Solutions
0.78
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