Attack Resilient Cloud-Based Control Systems for Industry 4.0
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10076459/ |
| _version_ | 1797860395750260736 |
|---|---|
| author | Fatemeh Akbarian William Tarneberg Emma Fitzgerald Maria Kihl |
| author_facet | Fatemeh Akbarian William Tarneberg Emma Fitzgerald Maria Kihl |
| author_sort | Fatemeh Akbarian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T21:46:14Z |
| format | Article |
| id | doaj.art-05e55e7e585b41608f0593c54456b5db |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-09T21:46:14Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-05e55e7e585b41608f0593c54456b5db2023-03-24T23:00:36ZengIEEEIEEE Access2169-35362023-01-0111278652788210.1109/ACCESS.2023.325906310076459Attack Resilient Cloud-Based Control Systems for Industry 4.0Fatemeh Akbarian0https://orcid.org/0000-0002-9447-3102William Tarneberg1Emma Fitzgerald2https://orcid.org/0000-0002-0836-4808Maria Kihl3https://orcid.org/0000-0003-3396-1652Department of Electrical and Information Technology, Lund University, Lund, SwedenDepartment of Electrical and Information Technology, Lund University, Lund, SwedenDepartment of Electrical and Information Technology, Lund University, Lund, SwedenDepartment of Electrical and Information Technology, Lund University, Lund, SwedenIn 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.https://ieeexplore.ieee.org/document/10076459/Attack detectionattack isolationattack mitigationcloud control systemsresilient control |
| spellingShingle | Fatemeh Akbarian William Tarneberg Emma Fitzgerald Maria Kihl Attack Resilient Cloud-Based Control Systems for Industry 4.0 IEEE Access Attack detection attack isolation attack mitigation cloud control systems resilient control |
| title | Attack Resilient Cloud-Based Control Systems for Industry 4.0 |
| title_full | Attack Resilient Cloud-Based Control Systems for Industry 4.0 |
| title_fullStr | Attack Resilient Cloud-Based Control Systems for Industry 4.0 |
| title_full_unstemmed | Attack Resilient Cloud-Based Control Systems for Industry 4.0 |
| title_short | Attack Resilient Cloud-Based Control Systems for Industry 4.0 |
| title_sort | attack resilient cloud based control systems for industry 4 0 |
| topic | Attack detection attack isolation attack mitigation cloud control systems resilient control |
| url | https://ieeexplore.ieee.org/document/10076459/ |
| work_keys_str_mv | AT fatemehakbarian attackresilientcloudbasedcontrolsystemsforindustry40 AT williamtarneberg attackresilientcloudbasedcontrolsystemsforindustry40 AT emmafitzgerald attackresilientcloudbasedcontrolsystemsforindustry40 AT mariakihl attackresilientcloudbasedcontrolsystemsforindustry40 |