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CORDIS - Resultados de investigaciones de la UE
CORDIS

Next Generation IoT as part of Next Generation Internet

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Enhanced IoT federated deep learning/reinforcement ML (se abrirá en una nueva ventana)

This deliverable will present the different ML techniques developed and applied on each use case and how these enhancements impact on the ML models implemented Moreover it will describe the implementation of the federated ML module including all functionalities defined in the context of IoTNGIN that ensure data confidentiality

Enhancing IoT Underlying Technology (se abrirá en una nueva ventana)

D22 will provide an updated version to the IoT M2M functionality focus on the reduction of the uplink cochannel interference an update to the IEEE TSN bridge Networkside TSN Translator an initial implementation of the IoT5G API and an initial version of a secure edge cloud microservices execution framework

IoT-NGIN Living Labs use cases Assessment and Replication guidelines (se abrirá en una nueva ventana)

This deliverable will provide the final assessment of IoTNGIN along with the replication guidelines in order to allow 3rd parties to integrate the IoTNGIN framework in nonproject sites

Enhancing Confidentiality preserving federated ML (se abrirá en una nueva ventana)

The document analyses the different federated learning techniques and methodologies through the lens of privacy preserving and focusing on the ML modelling to propose a federated ML module that provides the IoTNGIN ML framework with the required confidentialitypreserving features

Integrated IoT-NGIN platform & laboratory testing results (se abrirá en una nueva ventana)

Focus on the 2nd integration of IoTNGIN components highlighting the efficiency and performance features along with the initial version of the use case applications and initial testing and evaluation results

Marketing & promotional tools (1st Iteration) (se abrirá en una nueva ventana)

This deliverable will comprise a listing and a description of the created marketing material and tools

Continuous technology watch and alignment (se abrirá en una nueva ventana)

This deliverable reports the newest advancements in next generation IoT technologies and how these can be mapped and aligned with the projects outcomes

Integration guidelines & initial IoT-NGIN components integration (se abrirá en una nueva ventana)

Focus on integration guidelines and the initial version of the IoTNGIN components highlighting the main functionality of the platform

Enhanced IoT Tactile & Contextual Sensing/Actuating (Final Version) (se abrirá en una nueva ventana)

This deliverable will update D43 and provide the final object recognition federated ML trained models final access control mechanism including user rightsgroups and final version of AR enhanced apps for the IoTNGIN use cases

IoT meta-architecture alignment and continuous technology watch (se abrirá en una nueva ventana)

Provide an update and alignment to the IoT metaarchitecture considering the result of the initial Living Labs test It will also provide an update to benchmarking KPIs and the snapshot of the continuous IoT technology watch

Next Generation IoT PRESS Analysis & Confidentiality Requirements (se abrirá en una nueva ventana)

This deliverable will analyse the Next Generation IoT PRESS including confidentiality and privacy ethics security and societal implications to be addressed by IoTNGIN and tactile IoT

Enhancing IoT M2M/MCM Communications (se abrirá en una nueva ventana)

Deliverable D21 will report the advances in IoT M2M optimal relay strategy definition the initial version of an IEEE TSN bridge and a specification of the 5GIoT API

Trial site set-up, initial results and DMP update (se abrirá en una nueva ventana)

This deliverable will provide a description of the Living Labs trial sites as feedback to IoTNGIN system designers along with use case evaluation criteria test and verification procedures of the trials Moreover if needed it will provide an update to the Data Management Plan Initial quantitative results will be provided

Interoperable IoT-NGIN meta-architecture & laboratory evaluation (se abrirá en una nueva ventana)

Describe the final IoTNGIN integrated platform including laboratory testing and evaluation results

ML models sharing and Transfer learning implementation (se abrirá en una nueva ventana)

This deliverable describes the module that shares the trained models generated by the IoTNGIN ML framework the different options offered as well as how this transfer learning techniques applied to enrich other existing ML models It also details its implementation and integration within the IoTNGIN architecture

Enhancing IoT Ambient Intelligence (se abrirá en una nueva ventana)

This deliverable will provide the initial version of object recognition SW focused on IoTNGIN use cases and initial access control mechanism based on spatial information and ambient intelligence

Enhancing IoT Data Privacy & Trust (Update) (se abrirá en una nueva ventana)

Deliverable D54 will extend D53 providing the final version of Federated DLTledger transactions and introduce the DLTenabled metalevel Digital Twins

Project Handbook (se abrirá en una nueva ventana)

This will be a live document describing the communication procedures contact details file exchange procedures quality assurance details ethical guidelines and all necessary administrative information

Enhancing IoT Data Privacy & Trust (se abrirá en una nueva ventana)

Deliverable D53 will analyse the state of the art in SSI technology and Multiledger transactions and how they can be utilised to enhance the privacy preservation of IoT data

Enhancing IoT Tactile & Contextual Sensing/Actuating (se abrirá en una nueva ventana)

This deliverable will update D42 and provide enhanced object recognition ML models enhancements in the access control mechanism including ownership and initial version of AR enhanced apps for the IoTNGIN use cases

IoT meta-architecture, components and benchmarking (se abrirá en una nueva ventana)

This deliverable provides the technical specifications of the IoTNGIN components including the lowlevel design of the IoTNGIN architecture patterns the IoTNGIN metaarchitecture and the definition of test reports format and benchmarking for the validation of the KPIs Moreover it will provide initial feedback on IoT technology watch

Definition and analysis of use cases and GDPR compliance (se abrirá en una nueva ventana)

This deliverable provides a detailed analysis of the use cases the conditions technical and privacyGDPR requirements that would govern the actual measurements in the Living Labs

Data Management Plan (DMP) (se abrirá en una nueva ventana)

This deliverable will provide a description of the data management procedures to be used at trial sites and at the panEuropean level should any personal data be collected

Marketing & promotional tools (2nd Iteration) (se abrirá en una nueva ventana)

Marketing promotional tools

Enhancing IoT Cybersecurity (se abrirá en una nueva ventana)

Deliverable D51 will analyse and develop a systematic study on local model poisoning attacks to ondevice federated ML and develop a generative method and tool for generating synthetic labelled datasets of attacks

Open call documents KIT (se abrirá en una nueva ventana)

Comprises the information needed for the applicants to submit like Guidelines for Applicants template for the declaration of honour template of the subgrantee agreement and FAQ

Enhancing Deep learning/reinforcement learning (se abrirá en una nueva ventana)

The deliverable will initially detail the Big Data and ML framework that enables MLaaS and supports decentralised federated ML Then it studies different deep ML andor reinforcement learning techniques including selflearning techniques and supervisedunsupervised learning procedures applied to IoT devices to select those that better fit the IoTNGIN scenarios and enhance the ML models performance

Dissemination & Standardization Activities (2nd Period) (se abrirá en una nueva ventana)

This deliverable will update D86 and summarize the impact creation and dissemination plans including the cluster and SDO activities

Enhanced IoT Cybersecurity & Data Privacy/Trust (se abrirá en una nueva ventana)

This deliverable will provide the final results on adversarial access early attack detection and mitigation and the complete concept of DLTenabled metalevel Digital Twins for the IoTNGIN use cases

Enhanced IoT Underlying Technology (Final Version) (se abrirá en una nueva ventana)

D23 will provide the final version of the M2M and MCM enhancements and the complete versions of the TSN bridge and the secure edge cloud microservices execution framework

Enhancing IoT Cybersecurity (Update) (se abrirá en una nueva ventana)

Deliverable D52 will extend D51 and develop methods for protecting from adversarial access along with initial honeypotsMTD

Dissemination & Standardization Activities (1st Period) (se abrirá en una nueva ventana)

This deliverable will summarize the impact creation and dissemination plans including the cluster and SDO activities

Open calls Report & Evaluation Results (se abrirá en una nueva ventana)

Report on the results of each evaluation process by phase top statistics and conclusions The not funded projects will appear in an alphabetic order

IoT-NGIN Living Labs use cases intermediate results (se abrirá en una nueva ventana)

This deliverable will contain the intermediate results of the IoTNGIN Living Labs use cases before the integration of 3rd Party solutions and applications via Open Calls

Project Web site & Social Channels set-up (se abrirá en una nueva ventana)

This deliverable will provide the initial version of the project web site and social channels setup

Publicaciones

Nearby connections strategies: Features, usage, and empirical performance evaluation (se abrirá en una nueva ventana)

Autores: Tomas Lagos Jenschke, Marcelo Dias de Amorim, and Serge Fdida
Publicado en: Internet of Things, 2023, ISSN 2542-6605
Editor: Elsevier
DOI: 10.1016/j.iot.2023.100895

GAN-Driven Data Poisoning Attacks and Their Mitigation in Federated Learning Systems (se abrirá en una nueva ventana)

Autores: Konstantinos Psychogyios, Terpsichori-Helen Velivassaki, Stavroula Bourou, Artemis Voulkidis, Dimitrios Skias, Theodore Zahariadis
Publicado en: Electronics 2023, Edición Special issue on Recent Advances and Challenges in IoT, Cloud and Edge Coexistence, 2023, ISSN 2079-9292
Editor: MDPI
DOI: 10.3390/electronics12081805

A Review of Tabular Data Synthesis Using GANs on an IDS Dataset (se abrirá en una nueva ventana)

Autores: Stavroula Bourou, Andreas El Saer,Terpsichori-Helen Velivassaki, Artemis Voulkidis andTheodore Zahariadis
Publicado en: Information, 2021, Página(s) 375, ISSN 2078-2489
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12090375

Impact of an ML-Based Demand Response Mechanism on the Electrical Distribution Network: A Case Study in Terni (se abrirá en una nueva ventana)

Autores: Marco Antonio Bucarelli, Mohammad Ghoreishi, Francesca Santori, Jorge Mira, Jesús Gorroñogoitia
Publicado en: Electronics 2023, 2023, ISSN 2079-9292
Editor: MDPI
DOI: 10.3390/electronics12183948

Cricket: A Virtualization Layer for Distributed Execution of CUDA Applications with Checkpoint/Restart Support (se abrirá en una nueva ventana)

Autores: Niklas Eiling, Jonas Baude, Stefan Lankes, Antonello Monti
Publicado en: Wiley's Concurrency and Computation: Practice and Experience - Special Edición on Heterogeneous Computing, Edición Special Edición, 2021, Página(s) 1-14, ISSN 1532-0626
Editor: John Wiley & Sons Inc.
DOI: 10.1002/cpe.6474

The Role of Open-Source Software in the Energy Sector (se abrirá en una nueva ventana)

Autores: Jonathan Klimt, Niklas Eiling, Felix Wege, Antonello Monti
Publicado en: Energies 2023, Edición Special Edición Monitoring and Control of Active Electrical Distribution Grids and Urban Energy Grids in 2023, 2023, ISSN 1996-1073
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en16165855

Investigating the impact of short-circuit faults in different neutral configurations: a real case study

Autores: Marco Antonio Bucarelli, Dimitri Agostini, Alberto Geri, Fabio Massimo Gatta, Marco Maccioni, Marco Paulucci
Publicado en: 115th edition AEIT 2023 International Annual Conference (AEIT 2023), 2023
Editor: IEEE

Distributed generation monitoring: a cost-effective Raspberry Pi-based device (se abrirá en una nueva ventana)

Autores: Alberto Geri; Fabio Massimo Gatta; Marco Maccioni; Jacopo Dell'Olmo; Federico Carere; Marco Antonio Bucarelli; Parastou Poursoltan; Navid Hadifar; Marco Paulucci
Publicado en: 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Edición 1, 2022
Editor: IEEE
DOI: 10.1109/IRASET52964.2022.9737768

Enhancing Cyber Security in IoT Systems using FL-based IDS with Differential Privacy (se abrirá en una nueva ventana)

Autores: Zacharias Anastasakis, Konstantinos Psychogyios, Terpsichori-Helen Velivassaki, Stavroula Bourou, Artemis Voulkidis, Dimitrios Skias, Antonis Gonos, Theodore Zahariadis
Publicado en: 2022 Global Information Infrastructure and Networking Symposium (GIIS), 2022
Editor: IEEE
DOI: 10.1109/giis56506.2022.9936912

A low-cost smart monitoring device for Demand-side response campaigns (se abrirá en una nueva ventana)

Autores: Alberto Geri, Fabio Massimo Gatta, Marco Maccioni, Jacopo Dell'Olmo, Federico Calere, Marco Antonio Bucarelli, Parastou Poursoltan, Navid Hadifar, Marco Paulucci
Publicado en: ICICT 2022, 2022
Editor: Springer
DOI: 10.5281/zenodo.7985574

Quantifying Direct Link Establishment Delay between Android Devices (se abrirá en una nueva ventana)

Autores: Tomás Lagos Jenschke, Marcelo Dias de Amorim, Serge Fdida
Publicado en: IEEE Conference on Local Computer Networks (LCN), 2022
Editor: IEEE
DOI: 10.1109/lcn53696.2022.9843486

Technical–economic Impact of the Deployment of Renewable Energy Communities: An Italian Case Study

Autores: Marco Antonio Bucarelli, Tommaso Bragatto, Angelo Curci, Marco Maccioni, Jacopo Dell’Olmo, Alberto Geri, Marco Paulucci
Publicado en: 115th edition AEIT 2023 International Annual Conference (AEIT 2023), 2023
Editor: IEEE

Implementation Challenges of Single-hop, Device-to-Device Communication in 5G Networks (se abrirá en una nueva ventana)

Autores: Marios Sophocleous; Andreas Karkotis; Loizos Christofi; Tomas Lagos Jenschke; Marcelo Dias de Amorim; Serge Fdida; Jose Costa-Requena; Saimanoj Katta
Publicado en: European Conference on Networks and Communications (EUCNC), 2023
Editor: IEEE
DOI: 10.5281/zenodo.7950093

Accuracy analysis of power sensors in compute servers using high precision power analyzer (se abrirá en una nueva ventana)

Autores: Manuel Pitz, Niklas Eiling, Felix Wege, Iris Köster, Stefan Lankes, and Antonello Monti
Publicado en: International Supercomputing, 2023
Editor: RWTH Aachen University
DOI: 10.18154/rwth-2023-05754

Capabilities-based access control for IoT devices using Verifiable Credentials (se abrirá en una nueva ventana)

Autores: Nikos Fotiou, Vasilios A. Siris, George C. Polyzos, Yki Kortesniemi, Dmitrij Lagutin
Publicado en: SafeThings 2022: IEEE Workshop on the Internet of Safe Things, 2022
Editor: IEEE
DOI: 10.1109/spw54247.2022.9833873

On the Challenge of Sound Code for Operating Systems (se abrirá en una nueva ventana)

Autores: Jonathan Klimt, Martin Kröning, Stefan Lankes, Antonello Monti
Publicado en: 12th Workshop on Programming Languages and Operating Systems, 2023
Editor: Association for Computing Machinery
DOI: 10.1145/3623759.3624554

ML as a Service (MLaaS): Enhancing IoT with intelligence with adaptive online deep and reinforcement learning, model sharing and zero knowledge model verification (se abrirá en una nueva ventana)

Autores: Jorge Mira, Iván Moreno, Hervé Bardisbanian, and Jesús Gorroñogoitia
Publicado en: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, 2023, Página(s) 63-93, ISBN 9788770040273
Editor: Rivers Publisher
DOI: 10.13052/rp-9788770040266

Intelligent Management at the Edge

Autores: Mohammadreza Mosahebfard, Claudia Torres-Pérez, Estela Carmona-Cejudo, Andrés Cárdenas Córdova, Adrián Pino Martínez, Juan Sebastian Camargo Barragan, Estefanía Coronado, and Muhammad Shuaib Siddiqui
Publicado en: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, 2023, Página(s) 135-156, ISBN 9788770040273
Editor: Rivers Publisher

Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks

Autores: Z. Anastasakis, S. Bourou, T. H. Velivasaki, A. Voulkidis, and D. Skias
Publicado en: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, 2023, Página(s) 117-133, ISBN 9788770040273
Editor: Rivers Publisher

Discovering the Digital Twin Web - From singular applications to a scalable network

Autores: Juuso Autiosalo
Publicado en: Aalto University publication series DOCTORAL DISSERTATIONS, Edición 172/2021, 2021, Página(s) 1-91, ISBN 978-952-64-0621-3
Editor: Aalto University

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