IoT-based interoperability framework for asset and fleet management

Backman, Jere; Väre, Janne; Främling, Kary; Madhikermi, Manik; Nykänen, Ossi

doi:10.1109/etfa.2016.7733680

Cited by 14 publications

(7 citation statements)

References 7 publications

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“…On the other hand, several enterprise interoperability frameworks have been proposed in the literature (Chen et al, 2008 ), such as LISI (Levels of Information Systems Interoperability) (C4ISR, 1998 ), IDEAS interoperability framework (IDEAS, 2002 ), ATHENA interoperability framework (AIF) (ATHENA, 2003 ), Framework for Enterprise Interoperability (FEI), Big Data Value (BDV) Reference Model (BDVA, 2017 ), National Institute of Standards and Technology (NIST), and Big Data Interoperability Framework (NIST, 2019 ). In addition, during the last years, new domain-specific interoperability frameworks have been proposed, such as the European Interoperability Framework (EIF) (EIF, 2017 ), the Internet of Things-based interoperability framework for fleet management (Backman et al, 2016 ), the Smart City Interoperability Framework (Ahn et al, 2016 ), the interoperability framework for software as service systems in cloud (Rezaei et al, 2014 ), the International Image Interoperability Framework (Snydman et al, 2015 ), and the conceptual interoperability framework for large-scale systems (Selway et al, 2017 ). Overall, the enterprise interoperability frameworks can be seen in the frame of three main layers (Romero and Vernadat, 2016 ; Leal et al, 2020 ; Technical, Semantic, and Organizational).…”

Section: Literature Reviewmentioning

confidence: 99%

Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0

Bousdekis

Mentzas

2021

Front. Big Data

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Traditional manufacturing businesses lack the standards, skills, processes, and technologies to meet today's challenges of Industry 4.0 driven by an interconnected world. Enterprise Integration and Interoperability can ensure efficient communication among various services driven by big data. However, the data management challenges affect not only the technical implementation of software solutions but the function of the whole organization. In this paper, we bring together Enterprise Integration and Interoperability, Big Data Processing, and Industry 4.0 in order to identify synergies that have the potential to enable the so-called “Fourth Industrial Revolution.” On this basis, we propose an architectural framework for designing and modeling Industry 4.0 solutions for big data-driven manufacturing operations. We demonstrate the applicability of the proposed framework through its instantiation to predictive maintenance, a manufacturing function that increasingly concerns manufacturers due to the high costs, safety issues, and complexity of its application.

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Section: Literature Reviewmentioning

confidence: 99%

Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0

Bousdekis

Mentzas

2021

Front. Big Data

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“…However, they are domain specific such as the Internet of Things based interoperability framework (Backman et al, 2016) for fleet management, the Smart City Interoperability Framework (Ahn et al, 2016), the interoperability framework for software as service systems in cloud (Rezaei et al, 2014a), the International Image Interoperability Framework (Snydman et al, 2015) and the conceptual interoperability framework for large-scale systems (Selway et al, 2017).…”

Section: Framework For Enterprise Interoperabilitymentioning

confidence: 99%

Enterprise interoperability assessment: a requirements engineering approach

Leal

Guédria

Panetto

2020

International Journal of Computer Integrated Manufacturing

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One of the main challenges within collaborative business ecosystems is the management of Interoperability. Indeed, Interoperability is a crucial prerequisite that must be satisfied when enterprises need to work together for seizing new business opportunities and improving competitiveness. To develop and improve enterprise systems interoperability, a set of interoperability requirements needs to be verified. Indeed, knowing the different requirements and their relationships are paramount for identifying potential impacts on the overall system. Many research work have been proposed in the literature for defining and analysing such requirements. However, existing work do not explicitly specify the interdependencies between interoperability requirements. The objective of this article is, therefore, to investigate and define the interoperability requirements and their interdependencies. This will provide a holistic and clear view of the relations between the system components and their associated requirements. Therefore, one will be able to identify potential causes of the non-fulfilment of requirements, and their impacts on the concerned system. To do so, a Requirements Engineering approach is used to identify and formalise interoperability requirements and their relationships.

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“…Some of the key challenges are: unauthorized access, tag cloning, eavesdropping, spoofing, RF jamming, sinkhole attack, sleep deprivation attack, denial of service attack, malicious code injection, man-in-the-middle attack, spear-phishing attack, sniffing attack. Backman et al [23] state, a comprehensive security solution needs to address endpoint security, management and monitoring security, and secure data distribution and storage.…”

Section: Iot Device Management and Mobile Device Managementmentioning

confidence: 99%

Cybersecurity Business Models for IoT-Mobile Device Management Services in Futures Digital Hospitals

Gomes

Iivari

Ahokangas

et al. 2017

JICTS

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Hospitals as critical infrastructures has been historically dependent on various types of devices and equipment that are being revolutionized with digitalized solutions. The digitalization of conventional healthcare equipment is added with the new inclusion of numerous new devices for data collection, analysis, communication, and so on. All in all, the futures digital hospitals in 5G will be exponentially more data-dependent and digital-intensive. For that, this paper looks to theorize how the security scenario in a futures digital hospital would look like, and what relevant business possibilities could emerge for cybersecurity providers in the healthcare context. In this paper, we open up discussions on business possibilities relevant to Internet of Things-mobile device management for critical infrastructures such as future digital hospital. We apply business models as a conceptual lens to analyze how cybersecurity business could evolve for 5G enabled IoT-Mobile device management providers as a cybersecurity vendor.

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IoT-based interoperability framework for asset and fleet management

Cited by 14 publications

References 7 publications

Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0

Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0

Enterprise interoperability assessment: a requirements engineering approach

Cybersecurity Business Models for IoT-Mobile Device Management Services in Futures Digital Hospitals

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