Modeling Inconsistent Data for Reasoners in Web of Things

Blanco, José Miguel Arias; Ge, Mouzhi; Pitner, Tomáš

doi:10.1016/j.procs.2021.08.130

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Another future line of research could be adapting the model so that it takes into account data tampering attacks leading to invalid inferences; thanks to this, the model could also be used for the detection of attacks on a SCADA system. Finally, given the extension of WDNs and how prone they are to failure, it would be interesting to modify the model to deal with inconsistent data as proposed in [41].…”

Section: Discussionmentioning

confidence: 99%

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

Blanco,

Del Alamo,

Dueñas

et al. 2024

Electronics

Self Cite

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The digital transformation of critical infrastructures, such as energy or water distribution systems, is essential for their smart management. Faster issue identification and smoother services enable better adaptation to consumers’ evolving demands. However, these large-scale infrastructures are often outdated. Their digital transformation is crucial to enable them to support societies. This process must be carefully planned, providing guidance that ensures that the data they rely on are dependable and that the system remains fully operational during the transition. This paper presents a formal model that supports reliable data acquisition in legacy critical infrastructures, facilitating their evolution towards a data-driven smart system. Our model provides the foundation for a flexible transformation process while generating dependable data for system management. We demonstrate the model’s applicability in a use case within the water distribution domain and discuss its benefits.

show abstract

Section: Discussionmentioning

confidence: 99%

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

Blanco,

Del Alamo,

Dueñas

et al. 2024

Electronics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Another future line of research could be adapting the model so it takes into account data tampering attacks leading to invalid inferences; thanks to that the model could also be used for the detection of attacks on the SCADA system. Finally, given the extension of WDN and how prone they are to failure, it would be interesting to modify the model to deal with inconsistent data as proposed in [42].…”

Section: Discussionmentioning

confidence: 99%

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

Blanco,

Del Alamo,

Dueñas

et al. 2024

Preprint

View full text Add to dashboard Cite

The digital transformation of critical infrastructures, such as energy or water distribution systems, is essential for their smart management. Faster issue identification and smoother services enable better adaptation to consumers' evolving demands. However, these large-scale infrastructures are often outdated. Their digital transformation is crucial to enable them supporting societies. This process must be carefully planned, providing guidance that ensures that the data they rely on is dependable and that the system remains fully operational during the transition. This paper presents a formal model that supports reliable data acquisition in legacy critical infrastructures, facilitating their evolution towards a data-driven smart system. Our model provides the foundation for a flexible transformation process while generating dependable data for system management. We demonstrate the model's applicability in a use case within the water distribution domain and discuss its benefits.

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“…Otherwise, it can result in inconsistent results for the user or possibly harm the machine on which it is installed. Therefore, it is crucial for end users to fix data errors in WoT [69].…”

Section: Data Inconsistencymentioning

confidence: 99%

The Integration of WoT and Edge Computing: Issues and Challenges

et al. 2023

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The Web of Things is an improvement on the Internet of Things (IoT) that incorporates smart objects into both the web architecture (application) and the internet (network). WoT applications are inescapable in residential homes and communities. The intent behind WoT applications is to increase sustainable development for reducing resource consumption. The Web of Things (WoT) aims to create a decentralized Internet of Things. Edge computing addresses IoT computing demands by reducing the escalation in resource congestion situations. In edge computing data is placed closed to the end users which diverts computation load from the centralized data centers. Furthermore, the dispersed structure balances network traffic and minimizes traffic peaks in IoT networks. Therefore, resulting in reducing transmission delays between edge servers and end users which improves response times for real-time WoT applications. Low battery supply to nodes with enough power resources can increase the lifespan of the individual nodes by moving processing and communication overhead from the nodes. This paper integrates WoT and edge computing and compares their functionalities. In addition, it demonstrates how edge computing enhances WoT performance and concentrates on transmission, storage, and computation aspects. Furthermore, for performance evaluation it categorizes edge computing based on different architectures. Moreover, the challenges of Web of Things and edge computing have been discussed in terms of bandwidth, latency, energy, and cost. Finally, advantages of the Web of Things and edge computing have been discussed.

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Modeling Inconsistent Data for Reasoners in Web of Things

Cited by 6 publications

References 13 publications

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

The Integration of WoT and Edge Computing: Issues and Challenges

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