IoT Architecture for Urban Data-Centric Services and Applications

Luckner, Marcin; Grzenda, Maciej; Kunicki, Robert; Legierski, Jarosław

doi:10.1145/3396850

Cited by 14 publications

(4 citation statements)

References 35 publications

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“…Finally, note that broker-based PIS middleware protocols such as AMQP and MQTT are topic-based and cloud-based, but without complex event processing or streaming. This is precisely the role of recent works such the one of Luckner et al (2014), and of industrial platforms such as AWS IoT Core , Google IoT Core , Microsoft Azure IoT Hub , and FIWARE , to add complex event processing and streaming to publish-subscribe middleware standards. These platforms are proof, if any were needed, of the interest of major operators in working to integrate scalability into PIS middleware.…”

Section: Scalabilitymentioning

confidence: 99%

Middleware Supporting PIS: Requirements, Solutions, and Challenges

Taconet

Batista

Borges

et al. 2022

The Evolution of Pervasive Information Systems

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Scalabilitymentioning

confidence: 99%

Middleware Supporting PIS: Requirements, Solutions, and Challenges

Taconet

Batista

Borges

et al. 2022

The Evolution of Pervasive Information Systems

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“…From an architectural perspective, an urban IoT architecture focused on the needs of cities and their stakeholders have been described by Luckner et al 14 They developed a platform for intelligent transport planning using several data sources (e.g., public transport GPS, timetables, and Twitter feeds).…”

Section: Background Problem Definition and Contextmentioning

confidence: 99%

Internet‐of‐things architectures for secure cyber–physical spaces: The VISOR experience report

Pascale

Cascavilla

Sangiovanni

et al. 2022

J Software Evolu Process

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Internet of things (IoT) technologies are becoming a more and more widespread part of civilian life in common urban spaces, which are rapidly turning into cyber-physical spaces. Simultaneously, the fear of terrorism and crime in such public spaces is everincreasing. Due to the resulting increased demand for security, video-based IoT surveillance systems have become an important area for research. Considering the large number of devices involved in the illicit recognition task, we conducted a field study in a Dutch Easter music festival in a national interest project called VISOR to select the most appropriate device configuration in terms of performance and results. We iteratively architected solutions for the security of cyber-physical spaces using IoT devices. We tested the performance of multiple federated devices encompassing drones, closed-circuit television, smart phone cameras, and smart glasses to detect real-case scenarios of potentially malicious activities such as mosh pits and pickpocketing. Our results pave the way to select optimal IoT architecture configurations-that is, a mix of CCTV, drones, smart glasses, and camera phones in our case-to make safer cyber-physical spaces' a reality.

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“…In this case, many network security applications, such as Intrusion Detection Systems (IDS), have been deployed in the IoV backbone network to prevent it from kinds of threats. Besides, anomaly detection techniques are leveraged to implement anomaly-based intrusion detection, and detect impossible damages in networks [8,13,30]. In practice, both intrusion and anomaly detection systems need end-to-end network traic data as an input parameter to carry out the corresponding functions.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles

Wang

Nie

Ning

et al. 2022

ACM Trans. Internet Technol.

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Internet of Vehicles (IoV), as a special application of Internet of Things (IoT), has been widely used for Intelligent Transportation System (ITS), which leads to complex and heterogeneous IoV backbone networks. Network traffic prediction techniques are crucial for efficient and secure network management, such as routing algorithm, network planning, anomaly and intrusion detection. This paper studies the problem of end-to-end network traffic prediction in IoV backbone networks, and proposes a deep learning-based method. The constructed system considers the spatio-temporal feature of network traffic, and can capture the long-range dependence of network traffic. Furthermore, a threshold-based update mechanism is put forward to improve the real-time performance of the designed method by using Q-learning. The effectiveness of the proposed method is evaluated by a real network traffic data set.

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IoT Architecture for Urban Data-Centric Services and Applications

Cited by 14 publications

References 35 publications

Middleware Supporting PIS: Requirements, Solutions, and Challenges

Middleware Supporting PIS: Requirements, Solutions, and Challenges

Internet‐of‐things architectures for secure cyber–physical spaces: The VISOR experience report

Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles

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