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Attack Resilient Cloud-Based Control Systems for Industry 4.0

Akbarian, Fatemeh LU ; Tärneberg, William LU ; Fitzgerald, Emma LU orcid and Kihl, Maria LU (2023) In IEEE Access 11. p.27865-27882
Abstract
In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and disruptions with potentially catastrophic consequences. Therefore, some security measures are necessary to detect these attacks in a timely manner and mitigate their impact. In this paper, we propose a security framework for cloud control systems that makes them resilient against attacks. This framework includes three steps: attack detection,... (More)
In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and disruptions with potentially catastrophic consequences. Therefore, some security measures are necessary to detect these attacks in a timely manner and mitigate their impact. In this paper, we propose a security framework for cloud control systems that makes them resilient against attacks. This framework includes three steps: attack detection, attack isolation, and attack mitigation. We validate our proposed framework on a real testbed and evaluate its capability by subjecting it to a set of attacks. We show that our proposed solution can detect an attack in a timely manner and keep the plant stable, with high performance during the attack. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Attack detection, Attack isolation, Attack mitigation, Cloud control systems, Resilient control
in
IEEE Access
volume
11
pages
27865 - 27882
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85151362840
ISSN
2169-3536
DOI
10.1109/ACCESS.2023.3259063
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)
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
Ultra-reliable and low-latency networked systems aimed for time-critical services in an Industry 4.0 environment
language
English
LU publication?
yes
id
2a9ef096-e163-44cd-9893-c0a96afb549f
date added to LUP
2023-03-27 14:09:08
date last changed
2023-11-22 17:05:41
@article{2a9ef096-e163-44cd-9893-c0a96afb549f,
  abstract     = {{In recent years, since the cloud can provide tremendous advantages regarding storage and computing resources, the industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces significant security challenges since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and disruptions with potentially catastrophic consequences. Therefore, some security measures are necessary to detect these attacks in a timely manner and mitigate their impact. In this paper, we propose a security framework for cloud control systems that makes them resilient against attacks. This framework includes three steps: attack detection, attack isolation, and attack mitigation. We validate our proposed framework on a real testbed and evaluate its capability by subjecting it to a set of attacks. We show that our proposed solution can detect an attack in a timely manner and keep the plant stable, with high performance during the attack.}},
  author       = {{Akbarian, Fatemeh and Tärneberg, William and Fitzgerald, Emma and Kihl, Maria}},
  issn         = {{2169-3536}},
  keywords     = {{Attack detection; Attack isolation; Attack mitigation; Cloud control systems; Resilient control}},
  language     = {{eng}},
  pages        = {{27865--27882}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Access}},
  title        = {{Attack Resilient Cloud-Based Control Systems for Industry 4.0}},
  url          = {{http://dx.doi.org/10.1109/ACCESS.2023.3259063}},
  doi          = {{10.1109/ACCESS.2023.3259063}},
  volume       = {{11}},
  year         = {{2023}},
}