Towards a Semantic Edge Processing of Sensor Data. An Incipient Experiment

Databases are perhaps the most attacked and vulnerable elements in the online environment as far as organizations are concerned. The databases contain the most important information of an organization and its confidential data, along with those of its customers. However, little of the effort dedicated to security is intended to protect data. The present paper draws attention to the need to implement a simple and then complex security in a database using RDF (Resource Description Framework) based descriptions. Our example is one implemented for Microsoft Access and covers different security level descriptions considering attack types. We choose to represent the basic concepts and abstract syntax using the RDF data modeling vocabulary and we’re using as a starting point a legacy relational database where the company already catalogued attacks.

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“…We can have a starting in the paper written by Zalhan et al in 2019, in In Disable mode, Access blocks some components:…”

Section: The Creation Of a Data Entry Formmentioning

confidence: 99%

Database Security in RDF Terms

Mocean

Vlad

2023

Scientific Bulletin

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“…Appropriate latency must be verifiable to ensure real-time capability. In terms of KBES, different latencies can have an impact on decisions to be made (Zalhan et al, 2020). The requirement reconfigurability refers to the possibility to flexibly configure machines for the production of customer-specific requirements (Berry et al, 2017).…”

Section: Requirementsmentioning

confidence: 99%

A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing

Stahmann

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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The use of machine learning in digitized production increases potentials for production automation. A milestone on the path to autonomous production is real-time anomaly detection. However, increasing complexity of production makes autonomous decisions difficult to understand for humans as central stakeholders. In this paper, a dashboard is created that incorporates elements from knowledge-based systems, requirements for real-time anomaly detection, and design guidelines for dashboards. Using design science research, the dashboard is designed, implemented and comprehensively evaluated with 98 participants. After the second design science iteration, the dashboard is approved in terms of usefulness and ease of use. This research primarily contributes to practice, as the implementation constitutes a starting point for designing the interface between humans and autonomous production. The paper also contributes to academia as the dashboard is an instantiation in the research field of interface design for knowledge-based systems, which can be further developed in future research.

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Towards a Semantic Edge Processing of Sensor Data. An Incipient Experiment

Cited by 2 publications

References 8 publications

Database Security in RDF Terms

Database Security in RDF Terms

A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing

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