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Detecting and Mitigating Actuator Attacks on Cloud Control Systems through Digital Twins

Akbarian, Fatemeh LU ; Tärneberg, William LU ; Fitzgerald, Emma LU orcid and Kihl, Maria LU (2023) 31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023
Abstract
Recently, the industry has been driven to move industrial control systems to the cloud due to the significant advantages it offers in terms of storage and computing resources. However, this shift also brings forth significant security challenges. By moving control systems to the cloud, the potential for attackers to infiltrate the system and launch damaging attacks increases. These attacks can result in severe disruptions and potentially catastrophic consequences. Hence, attack detection and mitigation mechanisms are crucial for cloud control systems. In this paper, we present an approach that leverages the digital twins concept and virtual actuator method to detect and mitigate deception attacks on control signals within cloud control... (More)
Recently, the industry has been driven to move industrial control systems to the cloud due to the significant advantages it offers in terms of storage and computing resources. However, this shift also brings forth significant security challenges. By moving control systems to the cloud, the potential for attackers to infiltrate the system and launch damaging attacks increases. These attacks can result in severe disruptions and potentially catastrophic consequences. Hence, attack detection and mitigation mechanisms are crucial for cloud control systems. In this paper, we present an approach that leverages the digital twins concept and virtual actuator method to detect and mitigate deception attacks on control signals within cloud control systems. By conducting experiments on a real testbed and subjecting it to a set of attacks, we validate the effectiveness of our solution. Our proposed method successfully detects attacks in a timely manner and keeps the plant stable, with a good performance during the attack. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
31st International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2023
conference location
Split, Croatia
conference dates
2023-09-21 - 2023-09-23
external identifiers
  • scopus:85174482813
ISBN
979-8-3503-0107-6
DOI
10.23919/SoftCOM58365.2023.10271648
project
Cyber Security for Next Generation Factory (SEC4FACTORY)
Nordic University Hub on Internet of Things
Intelligent Management of next generation MobIle NEtworks aNd serviCEs (IMMINENCE)
Ultra-reliable and low-latency networked systems aimed for time-critical services in an Industry 4.0 environment
language
English
LU publication?
yes
id
f0a88c32-e449-461f-8345-271eb3f044a7
date added to LUP
2023-10-11 11:47:51
date last changed
2024-04-19 08:51:50
@inproceedings{f0a88c32-e449-461f-8345-271eb3f044a7,
  abstract     = {{Recently, the industry has been driven to move industrial control systems to the cloud due to the significant advantages it offers in terms of storage and computing resources. However, this shift also brings forth significant security challenges. By moving control systems to the cloud, the potential for attackers to infiltrate the system and launch damaging attacks increases. These attacks can result in severe disruptions and potentially catastrophic consequences. Hence, attack detection and mitigation mechanisms are crucial for cloud control systems. In this paper, we present an approach that leverages the digital twins concept and virtual actuator method to detect and mitigate deception attacks on control signals within cloud control systems. By conducting experiments on a real testbed and subjecting it to a set of attacks, we validate the effectiveness of our solution. Our proposed method successfully detects attacks in a timely manner and keeps the plant stable, with a good performance during the attack.}},
  author       = {{Akbarian, Fatemeh and Tärneberg, William and Fitzgerald, Emma and Kihl, Maria}},
  booktitle    = {{The 31st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023)}},
  isbn         = {{979-8-3503-0107-6}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Detecting and Mitigating Actuator Attacks on Cloud Control Systems through Digital Twins}},
  url          = {{https://lup.lub.lu.se/search/files/181043956/Detecting_and_Mitigating_Actuator_Attacks_on_Cloud_Control_Systems_through_Digital_Twins.pdf}},
  doi          = {{10.23919/SoftCOM58365.2023.10271648}},
  year         = {{2023}},
}