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Detection and mitig...
Detection and mitigation of deception attacks on cloud-based industrial control systems
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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,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Networks and Security,Lund University Research Groups
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- Kihl, Maria (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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(creator_code:org_t)
- 2022
- 2022
- Engelska.
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Ingår i: 25th Conference on Innovation in Clouds, Internet and Networks (ICIN). - 9781728186887
- 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
- In recent years, because the cloud can provide huge advantages regarding storage and computing resources, industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces major 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, intrusion detection and mitigation mechanisms are crucial for cloud-based industrial control systems. In this paper, we propose a method for detection and mitigation of deception attacks on actuator signals in cloud-based industrial control systems. We validate our solution on a real testbed and evaluate its capability by subjecting it to a set of attacks. Our proposed solution can detect the attack in a timely manner and keep the plant stable, with an acceptable performance during the attack.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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