An Ontology-Based Solution for Monitoring IoT Cybersecurity

Daoudagh, Said; Marchetti, Eda; Calabrò, Antonello; Ferrada, Filipa; Oliveira, Ana Inês; Barata, José; Peres, Ricardo Silva; Marques, Francisco

doi:10.1007/978-3-031-18872-5_10

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Details about the SMF components are provided in the following: Communication Layer: that manages all the communications between the components and lets data be exchanged through events. Ontology Manager: that manages the knowledge by representing monitoring data and functional or non-functional properties by ontologies [30], [31]. Predictive Simulation: that predicts the behavior of target monitored components or environment using one of the solutions described in Section II-B.…”

Section: A Smart Monitoring Frameworkmentioning

confidence: 99%

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

Calabrò,

Marchetti

2024

IEEE Access

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Context: Intelligent monitoring systems can effectively predict or detect anomalies and issues in smart working systems and ecosystems and implement the proper countermeasures. However, for their effective and efficient use, attributes like responsiveness, performance, and quality should be properly tested and assessed before integrating the monitoring system into an ecosystem. Objective: The work aims to present a framework, called MOnitoring TEsting Framework (MOTEF), focused on the testing and evaluation of a generic monitoring system performance. In particular, the framework allows testing the monitoring system in isolation or when used in a smart environment to provide functional or non-functional property predictions. Method: By simulating the runtime execution of a smart environment, MOTEF lets testing and assessment of a generic monitoring system establish its working boundaries. The results collected can be used to design a smart environment architecture to better fulfill its global performance constraints. Results and Conclusion:This work presents the architecture of MOTEF and its preliminary implementation. It also validated and showcased the use of MOTEF in evaluating the performance of an existing monitoring system in isolation and when it is used in a smart environment. The results have been evaluated considering two research questions about the monitoring system responsiveness and effectiveness in proving required functional or non-functional property predictions.

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Section: A Smart Monitoring Frameworkmentioning

confidence: 99%

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

Calabrò,

Marchetti

2024

IEEE Access

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“…This platform is designed to execute asynchronously in order to achieve near-realtime responsiveness and be non-blocking for the microservices. This is especially important given one of the Execution Methodologies (EM) utilized for the System Under Test (SUT), as described by Calabro et al and Daoudagh et al 43,44 . This EM requires real-time live data, which must be analyzed in the context of a Predictive Simulation implemented through a Digital Twin, as also mentioned by Cioroaica et al 45 .…”

Section: Platform Implementation Detailsmentioning

confidence: 99%

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

Delinschi

Erdei

Pas

et al. 2023

Preprint

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This article presents the architecture, design and validation of a microservice orchestration approach, that improves the flexibility of heterogeneous microservice-based platforms. Improving user experience and interaction, for time-critical applications are aspects that were primary objectives for the design of the architecture. Each microservice can provide its own embedded user interface component, also decentralizing it and, in consequence, improving the loosely coupled approach to the architecture. Obtained results are promising, with high throughput and low response times. Also, a key finding was the introduction of benchmarking as a new step in the development lifecycle of performance-critical software components, with an example of how it can be applied within an Agile methodology. Further research is proposed to improve the results and raise the final technology readiness level of the system. Obtained results already make the approach a candidate and viable alternative to classical service composers.

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DAEMON: A Domain-Based Monitoring Ontology for IoT Systems

Daoudagh,

Marchetti,

Calabrò

et al. 2023

SN COMPUT. SCI.

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Internet of Things (IoT) is an emerging technology used in several contexts and domains. The work aims to define a technological reference solution specifically conceived for monitoring and assessing the behavior of IoT systems from the cybersecurity perspective when a new device or component joins the system. We leverage semantic web technologies, such as ontologies, for defining DAEMON, a domain-based ontology that formally models monitoring, IoT, and System of Systems (SoS) domains’ knowledge. We also propose a supporting architecture and describe the proof-of-concept implementing different components. We have validated and showcased our proposal by instantiating DAEMON into a multi-robot autonomous navigation scenario applied to the intralogistics domain.

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An Ontology-Based Solution for Monitoring IoT Cybersecurity

Cited by 4 publications

References 27 publications

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

DAEMON: A Domain-Based Monitoring Ontology for IoT Systems

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