Securing IoT Device Networks: A Digital Twin and Automated Adversary Emulation Approach

Ewout Willem van der Wal; Mohammed El-hajj

doi:10.1109/DTPI59677.2023.10365459

Securing IoT Device Networks: A Digital Twin and Automated Adversary Emulation Approach

Ewout Willem van der Wal
, Mohammed El-hajj

Semantics, Cybersecurity & Services

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

43 Downloads (Pure)

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.

Original language	English
Title of host publication	2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)
Place of Publication	USA
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/DTPI59677.2023.10365459
Publication status	Published - 26 Dec 2023
Event	3rd Annual IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023 - Orlando, United States Duration: 7 Nov 2023 → 9 Nov 2023 Conference number: 3

Conference

Conference	3rd Annual IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
Abbreviated title	DTPI 2023
Country/Territory	United States
City	Orlando
Period	7/11/23 → 9/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

2024 OA procedure

Access to Document

10.1109/DTPI59677.2023.10365459

ArticleFinal published version, 1.13 MBLicence: Taverne

Cite this

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title = "Securing IoT Device Networks: A Digital Twin and Automated Adversary Emulation Approach",

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.",

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language = "English",

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booktitle = "2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)",

note = "3rd Annual IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023, DTPI 2023 ; Conference date: 07-11-2023 Through 09-11-2023",

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van der Wal, EW & El-hajj, M 2023, Securing IoT Device Networks: A Digital Twin and Automated Adversary Emulation Approach. in 2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI). USA, pp. 1-6, 3rd Annual IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023, Orlando, Florida, United States, 7/11/23. https://doi.org/10.1109/DTPI59677.2023.10365459

TY - GEN

T1 - Securing IoT Device Networks

T2 - 3rd Annual IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

AU - van der Wal, Ewout Willem

AU - El-hajj, Mohammed

N1 - Conference code: 3

PY - 2023/12/26

Y1 - 2023/12/26

N2 - 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.

AB - 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.

KW - 2024 OA procedure

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DO - 10.1109/DTPI59677.2023.10365459

M3 - Conference contribution

SP - 1

EP - 6

BT - 2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)

CY - USA

Y2 - 7 November 2023 through 9 November 2023

ER -

Securing IoT Device Networks: A Digital Twin and Automated Adversary Emulation Approach

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this