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Openness and Security Thinking Characteristics for IoT Ecosystems
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
Department of Informatics, Lund University.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0003-0546-072X
Department of Security, Booking.com.
2020 (English)In: Information, E-ISSN 2078-2489, Vol. 11, no 12Article in journal (Refereed) Published
Abstract [en]

While security is often recognized as a top priority for organizations and a push for competitive advantage, repeatedly, Internet of Things (IoT) products have become a target of diverse security attacks. Thus, orchestrating smart services and devices in a more open, standardized and secure way in IoT environments is yet a desire as much as it is a challenge. In this paper, we propose a model for IoT practitioners and researchers, who can adopt a sound security thinking in parallel with open IoT technological developments. We present the state-of-the-art and an empirical study with IoT practitioners. These efforts have resulted in identifying a set of openness and security thinking criteria that are important to consider from an IoT ecosystem point of view. Openness in terms of open standards, data, APIs, processes, open source and open architectures (flexibility, customizability and extensibility aspects), by presenting security thinking tackled from a three-dimensional point of view (awareness, assessment and challenges) that highlight the need to develop an IoT security mindset. A novel model is conceptualized with those characteristics followed by several key aspects important to design and secure future IoT systems.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2020. Vol. 11, no 12
Keywords [en]
IoT, ecosystem, openness, security, privacy, awareness, assessment, challenges, security thinking, model, design
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:mau:diva-37515DOI: 10.3390/info11120564ISI: 000601977000001Scopus ID: 2-s2.0-85097033643OAI: oai:DiVA.org:mau-37515DiVA, id: diva2:1508520
Funder
Knowledge Foundation, 20140035Available from: 2020-12-10 Created: 2020-12-10 Last updated: 2024-02-05Bibliographically approved

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Vogel, BahtijarBugeja, Joseph

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