Publikationer från Malmö universitet
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ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems.
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0002-8025-4734
Department of Computer Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
Department of Information Technology, Uppsala University, 75105 Uppsala, Sweden; Center for Applied Intelligent Systems Research, School of Information Technology, Halmstad University, 30118 Halmstad, Sweden.
Institute of Computer Science, Delta Research Centre, University of Tartu, 51009 Tartu, Estonia.
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2022 (engelsk)Inngår i: Sensors, E-ISSN 1424-8220, Vol. 22, nr 18, artikkel-id 6842Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Internet of Things (IoT) systems are complex systems that can manage mission-critical, costly operations or the collection, storage, and processing of sensitive data. Therefore, security represents a primary concern that should be considered when engineering IoT systems. Additionally, several challenges need to be addressed, including the following ones. IoT systems' environments are dynamic and uncertain. For instance, IoT devices can be mobile or might run out of batteries, so they can become suddenly unavailable. To cope with such environments, IoT systems can be engineered as goal-driven and self-adaptive systems. A goal-driven IoT system is composed of a dynamic set of IoT devices and services that temporarily connect and cooperate to achieve a specific goal. Several approaches have been proposed to engineer goal-driven and self-adaptive IoT systems. However, none of the existing approaches enable goal-driven IoT systems to automatically detect security threats and autonomously adapt to mitigate them. Toward bridging these gaps, this paper proposes a distributed architectural Approach for engineering goal-driven IoT Systems that can autonomously SElf-adapt to secuRity Threats in their environments (ASSERT). ASSERT exploits techniques and adopts notions, such as agents, federated learning, feedback loops, and blockchain, for maintaining the systems' security and enhancing the trustworthiness of the adaptations they perform. The results of the experiments that we conducted to validate the approach's feasibility show that it performs and scales well when detecting security threats, performing autonomous security adaptations to mitigate the threats and enabling systems' constituents to learn about security threats in their environments collaboratively.

sted, utgiver, år, opplag, sider
MDPI, 2022. Vol. 22, nr 18, artikkel-id 6842
Emneord [en]
Internet of Things, blockchain, multi-agent systems, security, self-adaptive and goal-driven systems, software architecture
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Identifikatorer
URN: urn:nbn:se:mau:diva-55176DOI: 10.3390/s22186842ISI: 000858946100001PubMedID: 36146191Scopus ID: 2-s2.0-85138427481OAI: oai:DiVA.org:mau-55176DiVA, id: diva2:1704068
Tilgjengelig fra: 2022-10-17 Laget: 2022-10-17 Sist oppdatert: 2024-02-05bibliografisk kontrollert

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