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A Security Framework in Digital Twins for Cloud-based Industrial Control Systems: Intrusion Detection and Mitigation

Akbarian, Fatemeh LU ; Tärneberg, William LU ; Fitzgerald, Emma LU orcid and Kihl, Maria LU (2021) 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Abstract
With the help of modern technologies and advances in communication systems, the functionality of Industrial control systems (ICS) has been enhanced leading toward to have more efficient and smarter ICS. However, this makes these systems more and more connected and part of a networked system. This can provide an entry point for attackers to infiltrate the system and cause damage with potentially catastrophic consequences. Therefore, in this paper, we propose a digital twin-based security framework for ICS that consists of two parts: attack detection and attack mitigation. In this framework we deploy an intrusion detection system in digital domain that can detect attacks in a timely manner. Then, using our mitigation method, we keep the... (More)
With the help of modern technologies and advances in communication systems, the functionality of Industrial control systems (ICS) has been enhanced leading toward to have more efficient and smarter ICS. However, this makes these systems more and more connected and part of a networked system. This can provide an entry point for attackers to infiltrate the system and cause damage with potentially catastrophic consequences. Therefore, in this paper, we propose a digital twin-based security framework for ICS that consists of two parts: attack detection and attack mitigation. In this framework we deploy an intrusion detection system in digital domain that can detect attacks in a timely manner. Then, using our mitigation method, we keep the system stable with acceptable performance during the attack. Additionally, we implement our framework on a real testbed and evaluate its capability by subjecting it to a set of attacks. (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
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
conference location
Västerås, Sweden
conference dates
2021-09-07 - 2021-09-10
external identifiers
  • scopus:85120343963
ISBN
978-1-7281-2990-7
978-1-7281-2989-1
DOI
10.1109/ETFA45728.2021.9613545
project
Ultra-reliable and low-latency networked systems aimed for time-critical services in an Industry 4.0 environment
Cyber Security for Next Generation Factory (SEC4FACTORY)
Nordic University Hub on Internet of Things
Intelligent Management of next generation MobIle NEtworks aNd serviCEs (IMMINENCE)
language
English
LU publication?
yes
id
9c89997e-d093-4dbe-a36b-d422dbc1c73e
date added to LUP
2022-03-23 11:14:58
date last changed
2025-03-07 13:34:01
@inproceedings{9c89997e-d093-4dbe-a36b-d422dbc1c73e,
  abstract     = {{With the help of modern technologies and advances in communication systems, the functionality of Industrial control systems (ICS) has been enhanced leading toward to have more efficient and smarter ICS. However, this makes these systems more and more connected and part of a networked system. This can provide an entry point for attackers to infiltrate the system and cause damage with potentially catastrophic consequences. Therefore, in this paper, we propose a digital twin-based security framework for ICS that consists of two parts: attack detection and attack mitigation. In this framework we deploy an intrusion detection system in digital domain that can detect attacks in a timely manner. Then, using our mitigation method, we keep the system stable with acceptable performance during the attack. Additionally, we implement our framework on a real testbed and evaluate its capability by subjecting it to a set of attacks.}},
  author       = {{Akbarian, Fatemeh and Tärneberg, William and Fitzgerald, Emma and Kihl, Maria}},
  booktitle    = {{2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )}},
  isbn         = {{978-1-7281-2990-7}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{A Security Framework in Digital Twins for Cloud-based Industrial Control Systems: Intrusion Detection and Mitigation}},
  url          = {{http://dx.doi.org/10.1109/ETFA45728.2021.9613545}},
  doi          = {{10.1109/ETFA45728.2021.9613545}},
  year         = {{2021}},
}