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Generic Autonomic Management as a Service in a SOA-based Framework for Industry 4.0
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab. University of Applied Sciences Burgenland, Eisenstadt, Austria.
University of Applied Sciences Burgenland, Eisenstadt, Austria.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-4133-3317
2019 (English)In: Proceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2019, p. 5480-5485Conference paper, Published paper (Other academic)
Abstract [en]

Cyber-physical production systems are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. In order to make these systems interoperable with each other for addressing Industry 4.0 applications a number of service-oriented architecture frameworks are developed. Such frameworks are composed by a number of services, which are inherently dynamic by nature and thus imply the need for self-adaptation. In this paper we propose generic autonomic management as a service and show how it can be integrated in the Arrowhead framework. We propose generic and reusable interfaces for each phase of the autonomic control loop in order to increase the usability of the service for other frameworks and application systems, while reducing the software engineering effort. To show the utility of our approach in the Arrowhead framework we use a climate control application as a representative example.

Place, publisher, year, edition, pages
IEEE, 2019. p. 5480-5485
Series
Annual Conference of Industrial Electronics Society, ISSN 1553-572X, E-ISSN 2577-1647
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electronic systems; Industrial Electronics
Identifiers
URN: urn:nbn:se:ltu:diva-78700DOI: 10.1109/IECON.2019.8927245ISI: 000522050605077Scopus ID: 2-s2.0-85078694661OAI: oai:DiVA.org:ltu-78700DiVA, id: diva2:1426862
Conference
IECON 2019 45th Annual Conference of the IEEE Industrial Electronics Society, 14-17 October, 2019, Lisbon, Portugal
Note

ISBN för värdpublikation: 978-1-7281-4878-6, 978-1-7281-4879-3

Available from: 2020-04-28 Created: 2020-04-28 Last updated: 2021-10-02Bibliographically approved
In thesis
1. Autonomic Management of System of Systems Security
Open this publication in new window or tab >>Autonomic Management of System of Systems Security
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The digitalization of manufacturing industry and the profound reliance on interconnected System of Systems (SoS) is demanding for innovative solutions that can handle production processes, while making use of the new data that is being generated by various connected devices. Innovations based on collecting, evaluating, and using this data can improve existing processes and create new business models. Although this is beneficial to the user, at the same time, it opens the way for adversaries to exploit new vulnerabilities. Since the factories are exposing their internal production processes to the internet, security is one of the challenges that should be addressed in this new digitalization era, referred to as the fourth industrial revolution or Industry 4.0. Furthermore, security cannot be seen as independent from other non-functional requirements of SoS, e.g. performance or safety aspects. Addressing security without risking to negatively affect other aspects and vice versa is a main concern for such interconnected systems.

This thesis outlines the progress made towards security management and mitigation in SoS. It proposes an automated and secure onboarding procedure, which is required to introduce a new device in a SoS environment without compromising the already on-boarded devices and the underlying infrastructure. The proposed procedure establishes a chain of trust from the hardware device to its hosted application systems and their provided services by creating a chain of digital certificates. Thus, it allows to rely on the information on which “smart” decisions are being based, while ensuring a secure and trusted communication between the interacting systems.

Even with security controls in place, e.g. the automated onboarding procedure, maintaining a required security level for the SoS as a whole is difficult due to uncertainties that may occur at runtime. Uncertainties may occur due to internal factors, e.g. malfunction of a system, or external factors, e.g. malicious attacks. One approach that can tackle these uncertainties at run time and manage trade-offs between security and other non-functional requirements is self-adaptation. Self-adaptation enables a system to adapt in the face of such uncertainties without human intervention.

This thesis proposes a generic autonomic management system aimed to support the engineers in building self-adaptive systems that should cope with dynamic changes of the environment and system itself, while considering the expected rapid advances of system attacks. Given its generic property, the system can be reused and extended for a variety of use cases without requiring major modifications. This will reduce the software engineering effort needed to implement the generic control mechanisms. A prototype of the system has been implemented and tested.

Place, publisher, year, edition, pages
Luleå University of Technology, 2021
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
System of Systems, Security, Self-Adaptation, Autonomic Management, Eclipse Arrowhead
National Category
Computer Sciences
Research subject
Cyber-Physical Systems
Identifiers
urn:nbn:se:ltu:diva-87316 (URN)978-91-7790-942-2 (ISBN)978-91-7790-943-9 (ISBN)
Public defence
2021-11-17, E632, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2021-10-04 Created: 2021-10-02 Last updated: 2022-01-03Bibliographically approved

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Maksuti, SiliaDelsing, Jerker

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