DT4I4-Secure: Digital Twin Framework for Industry 4.0 Systems Security-Reference-Cited by-同舟云学术

DT4I4-Secure: Digital Twin Framework for Industry 4.0 Systems Security

Published:2023-10-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
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Author:

Lin Yu-Zheng¹,Shao Sicong²,Rahman Md Habibor³,Shafae Mohammed³,Satam Pratik³

Affiliation:

1. University of Arizona,Department of Electrical and Computer Engineering,Tucson,AZ,USA,85721

2. University of North Dakota,School of Electrical Engineering and Computer Science,Grand Forks,ND,USA,58202

3. University of Arizona,Department of Systems and Industrial Engineering,Tucson,AZ,USA,85721

Funder

National Science Foundation

University of Arizona

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10315953/10315721/10316090.pdf?arnumber=10316090

Reference49 articles.

1. Machine Learning for Intrusion Detection: Stream Classification Guided by Clustering for Sustainable Security in IoT

2. An approach to cyber-physical vulnerability assessment for intelligent manufacturing systems

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4. Graph-theoretic approach for manufacturing cybersecurity risk modeling and assessment;rahman;arXiv preprint arXiv 2301 07898,2023

5. Manufacturing cybersecurity threat attributes and countermeasures: Review, meta-taxonomy, and use cases of cyberattack taxonomies

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