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Title: Digital Twin Security Threats and Countermeasures: An Introduction
Authors: Karaarslan, Enis
Babiker, Mohammed
Keywords: artificial intelligence
data communication
digital twin
digital twin security
digital twin threats
Convolutional codes
Data communication systems
Internet of things
Machine components
Machine learning
Computing machines
Digital twin security
Digital twin threat
Integrated technologies
Physical world
Security countermeasures
Security threats
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: The digital twin is based on integrated technologies such as the Internet of Things (IoT), Cloud Computing, Machine Learning, and Artificial Intelligence. The digital twin has become an important method of the digital manufacturing processes for the fourth industrial revolution. The digital twin is driven by increased intelligence, digitization, and reliability of smart manufacturing assets. It has potential usage areas such as construction, smart cities, and healthcare. It could be used to increase the overall performance of the potential systems and to support the physical world. Although extensive benefits are recognized, the security risks for using the digital twin have yet to be explored. The physical world of various nodes communicates with the digital twin. The digital twins will also communicate with each other in the near future. This study investigates the risks and threats which target the components of digital twin, machine learning processes, and data communication. Potential countermeasures and also future work is given. © 2021 IEEE.
Description: 14th International Conference on Information Security and Cryptology, ISCTURKEY 2021 -- 2 December 2021 through 3 December 2021 -- -- 175906
ISBN: 9.78167E+12
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu

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