Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification-Reference-Cited by-同舟云学术

Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification

Published:2022 Issue: Volume:10 Page:23186-23197
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tran Minh-Quang¹^ORCID,Elsisi Mahmoud¹^ORCID,Liu Meng-Kun¹^ORCID,Vu Viet Q.²,Mahmoud Karar³^ORCID,Darwish Mohamed M. F.⁴^ORCID,Abdelaziz Almoataz Y.⁵,Lehtonen Matti³^ORCID

Affiliation:

1. Industry 4.0 Implementation Center, Center for Cyber-Physical System Innovation, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Department of Mechanical Engineering, Faculty of International Training, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

3. Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Espoo, Finland

4. Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt

5. Faculty of Engineering and Technology, Future University in Egypt, Cairo, Egypt

Funder

Center for Cyber-Physical System Innovation from the Featured Areas Research Center Program in the Agenda of the Higher Education Sprout Project, Taiwan

Ministry of Science and Technology (MOST) of Taiwan

Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09718276.pdf?arnumber=9718276

Reference57 articles.

1. Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review

2. Machine-to-Machine Communication

3. Intelligent Manufacturing in the Context of Industry 4.0: A Review