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Title	Securing Iot Device Networks: A Digital Twin And Automated Adversary Emulation Approach
ID_Doc	47750
Authors	Van Der Wal E.W.; El-Hajj M.
Year	2023
Published	2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
DOI	http://dx.doi.org/10.1109/DTPI59677.2023.10365459
Abstract	With the number of Internet-connected devices (things), expected to be almost 30 billion by 2030, the Internet of Things (IoT) technologies have already become a part of everyday life, in various areas like public health, smart cars, smart grids, smart cities, smart manufacturing, and smart homes. Hand in hand with this growing adoption, there is also the necessity of securing all these devices from possible cyber attacks. In this paper, We investigate the current state of the art of IoT security and Digital Twins, the digital representations of physical objects. We then use this knowledge to propose a novel methodology to use Cyber Digital Twins and Autonomous Adversary Emulation to improve the security of IoT devices. Consequently, we show that this methodology has the potential to improve the security of IoT applications. This work contributes a review of the state of the art in IoT security research and a novel method for improving IoT device security. © 2023 IEEE.
Author Keywords	Autonomous Adversary Emulation; Digital Twins; DT; IoT; Security

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