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CORDIS - Risultati della ricerca dell’UE
CORDIS

Next Generation IoT as part of Next Generation Internet

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Enhanced IoT federated deep learning/reinforcement ML (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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

Continuous technology watch and alignment (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

ML models sharing and Transfer learning implementation (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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

Project Handbook (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

Marketing promotional tools

Enhancing IoT Cybersecurity (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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

Dissemination & Standardization Activities (1st Period) (si apre in una nuova finestra)

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

Open calls Report & Evaluation Results (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Pubblicazioni

Nearby connections strategies: Features, usage, and empirical performance evaluation (si apre in una nuova finestra)

Autori: Tomas Lagos Jenschke, Marcelo Dias de Amorim, and Serge Fdida
Pubblicato in: Internet of Things, 2023, ISSN 2542-6605
Editore: Elsevier
DOI: 10.1016/j.iot.2023.100895

GAN-Driven Data Poisoning Attacks and Their Mitigation in Federated Learning Systems (si apre in una nuova finestra)

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

A Review of Tabular Data Synthesis Using GANs on an IDS Dataset (si apre in una nuova finestra)

Autori: Stavroula Bourou, Andreas El Saer,Terpsichori-Helen Velivassaki, Artemis Voulkidis andTheodore Zahariadis
Pubblicato in: Information, 2021, Pagina/e 375, ISSN 2078-2489
Editore: 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 (si apre in una nuova finestra)

Autori: Marco Antonio Bucarelli, Mohammad Ghoreishi, Francesca Santori, Jorge Mira, Jesús Gorroñogoitia
Pubblicato in: Electronics 2023, 2023, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics12183948

Cricket: A Virtualization Layer for Distributed Execution of CUDA Applications with Checkpoint/Restart Support (si apre in una nuova finestra)

Autori: Niklas Eiling, Jonas Baude, Stefan Lankes, Antonello Monti
Pubblicato in: Wiley's Concurrency and Computation: Practice and Experience - Special Numero on Heterogeneous Computing, Numero Special Numero, 2021, Pagina/e 1-14, ISSN 1532-0626
Editore: John Wiley & Sons Inc.
DOI: 10.1002/cpe.6474

The Role of Open-Source Software in the Energy Sector (si apre in una nuova finestra)

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

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

Autori: Marco Antonio Bucarelli, Dimitri Agostini, Alberto Geri, Fabio Massimo Gatta, Marco Maccioni, Marco Paulucci
Pubblicato in: 115th edition AEIT 2023 International Annual Conference (AEIT 2023), 2023
Editore: IEEE

Distributed generation monitoring: a cost-effective Raspberry Pi-based device (si apre in una nuova finestra)

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

Enhancing Cyber Security in IoT Systems using FL-based IDS with Differential Privacy (si apre in una nuova finestra)

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

A low-cost smart monitoring device for Demand-side response campaigns (si apre in una nuova finestra)

Autori: Alberto Geri, Fabio Massimo Gatta, Marco Maccioni, Jacopo Dell'Olmo, Federico Calere, Marco Antonio Bucarelli, Parastou Poursoltan, Navid Hadifar, Marco Paulucci
Pubblicato in: ICICT 2022, 2022
Editore: Springer
DOI: 10.5281/zenodo.7985574

Quantifying Direct Link Establishment Delay between Android Devices (si apre in una nuova finestra)

Autori: Tomás Lagos Jenschke, Marcelo Dias de Amorim, Serge Fdida
Pubblicato in: IEEE Conference on Local Computer Networks (LCN), 2022
Editore: IEEE
DOI: 10.1109/lcn53696.2022.9843486

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

Autori: Marco Antonio Bucarelli, Tommaso Bragatto, Angelo Curci, Marco Maccioni, Jacopo Dell’Olmo, Alberto Geri, Marco Paulucci
Pubblicato in: 115th edition AEIT 2023 International Annual Conference (AEIT 2023), 2023
Editore: IEEE

Implementation Challenges of Single-hop, Device-to-Device Communication in 5G Networks (si apre in una nuova finestra)

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

Accuracy analysis of power sensors in compute servers using high precision power analyzer (si apre in una nuova finestra)

Autori: Manuel Pitz, Niklas Eiling, Felix Wege, Iris Köster, Stefan Lankes, and Antonello Monti
Pubblicato in: International Supercomputing, 2023
Editore: RWTH Aachen University
DOI: 10.18154/rwth-2023-05754

Capabilities-based access control for IoT devices using Verifiable Credentials (si apre in una nuova finestra)

Autori: Nikos Fotiou, Vasilios A. Siris, George C. Polyzos, Yki Kortesniemi, Dmitrij Lagutin
Pubblicato in: SafeThings 2022: IEEE Workshop on the Internet of Safe Things, 2022
Editore: IEEE
DOI: 10.1109/spw54247.2022.9833873

On the Challenge of Sound Code for Operating Systems (si apre in una nuova finestra)

Autori: Jonathan Klimt, Martin Kröning, Stefan Lankes, Antonello Monti
Pubblicato in: 12th Workshop on Programming Languages and Operating Systems, 2023
Editore: 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 (si apre in una nuova finestra)

Autori: Jorge Mira, Iván Moreno, Hervé Bardisbanian, and Jesús Gorroñogoitia
Pubblicato in: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, 2023, Pagina/e 63-93, ISBN 9788770040273
Editore: Rivers Publisher
DOI: 10.13052/rp-9788770040266

Intelligent Management at the Edge

Autori: Mohammadreza Mosahebfard, Claudia Torres-Pérez, Estela Carmona-Cejudo, Andrés Cárdenas Córdova, Adrián Pino Martínez, Juan Sebastian Camargo Barragan, Estefanía Coronado, and Muhammad Shuaib Siddiqui
Pubblicato in: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, 2023, Pagina/e 135-156, ISBN 9788770040273
Editore: Rivers Publisher

Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks

Autori: Z. Anastasakis, S. Bourou, T. H. Velivasaki, A. Voulkidis, and D. Skias
Pubblicato in: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, 2023, Pagina/e 117-133, ISBN 9788770040273
Editore: Rivers Publisher

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

Autori: Juuso Autiosalo
Pubblicato in: Aalto University publication series DOCTORAL DISSERTATIONS, Numero 172/2021, 2021, Pagina/e 1-91, ISBN 978-952-64-0621-3
Editore: Aalto University

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