Discovering Hazards in IoT Architectures: A Safety Analysis Approach for Medical Use Cases-Reference-Cited by-同舟云学术

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Discovering Hazards in IoT Architectures: A Safety Analysis Approach for Medical Use Cases

Published:2023 Issue: Volume:11 Page:53671-53686
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rashid Fryad Khalid M.¹^ORCID,Osman Osman Sharif²,Mcgee Ethan Travis³,Raad Haider⁴^ORCID

Affiliation:

1. Technical College of Engineering, Sulaimani Polytechnic University, Sulaymaniyah, Iraq

2. College of Administration and Economics, University of Sulaimani, Sulaymaniyah, Iraq

3. Department of Computer Science, Bob Jones University, Greenville, SC, USA

4. Department of Physics, Xavier University, Cincinnati, OH, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10136695.pdf?arnumber=10136695

Reference46 articles.

1. Machine learning-based system safety research for medical IoT;jiang;IEEE Access,2021

2. A systematic framework for identifying and mitigating safety risks in Medical Internet of Things;li;IEEE Access,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing system safety in critical architectures: Augmented hypothesis testing with early design knowledge;PLOS ONE;2024-04-18

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