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A Security Framewor...
A Security Framework in Digital Twins for Cloud-based Industrial Control Systems: Intrusion Detection and Mitigation
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- Akbarian, Fatemeh (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Bredbandskommunikation,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Broadband Communication,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
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- Tärneberg, William (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Nätverk och säkerhet,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Networks and Security,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
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- Fitzgerald, Emma (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Nätverk och säkerhet,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Networks and Security,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH,Warsaw University of Technology
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- Kihl, Maria (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: AI och digitalisering,LTH profilområden,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
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(creator_code:org_t)
- 2021
- 2021
- Engelska.
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Ingår i: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). - 9781728129891 - 9781728129907
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
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