Next Generation IoT as part of Next Generation Internet

Livrables

Enhanced IoT federated deep learning/reinforcement ML

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

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

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

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

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)

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

Continuous technology watch and alignment

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

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)

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

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

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

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

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

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

ML models sharing and Transfer learning implementation

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

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)

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

Project Handbook

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

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

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

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

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)

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)

Marketing promotional tools

Enhancing IoT Cybersecurity

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

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

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)

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

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)

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)

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

Dissemination & Standardization Activities (1st Period)

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

Open calls Report & Evaluation Results

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

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

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

Publications

Nearby connections strategies: Features, usage, and empirical performance evaluation

Auteurs: Tomas Lagos Jenschke, Marcelo Dias de Amorim, and Serge Fdida
Publié dans: Internet of Things, 2023, ISSN 2542-6605
Éditeur: Elsevier
DOI: 10.1016/j.iot.2023.100895

GAN-Driven Data Poisoning Attacks and Their Mitigation in Federated Learning Systems

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

A Review of Tabular Data Synthesis Using GANs on an IDS Dataset

Auteurs: Stavroula Bourou, Andreas El Saer,Terpsichori-Helen Velivassaki, Artemis Voulkidis andTheodore Zahariadis
Publié dans: Information, 2021, Page(s) 375, ISSN 2078-2489
Éditeur: 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

Auteurs: Marco Antonio Bucarelli, Mohammad Ghoreishi, Francesca Santori, Jorge Mira, Jesús Gorroñogoitia
Publié dans: Electronics 2023, 2023, ISSN 2079-9292
Éditeur: MDPI
DOI: 10.3390/electronics12183948

Cricket: A Virtualization Layer for Distributed Execution of CUDA Applications with Checkpoint/Restart Support

Auteurs: Niklas Eiling, Jonas Baude, Stefan Lankes, Antonello Monti
Publié dans: Wiley's Concurrency and Computation: Practice and Experience - Special Numéro on Heterogeneous Computing, Numéro Special Numéro, 2021, Page(s) 1-14, ISSN 1532-0626
Éditeur: John Wiley & Sons Inc.
DOI: 10.1002/cpe.6474

The Role of Open-Source Software in the Energy Sector

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

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

Auteurs: Marco Antonio Bucarelli, Dimitri Agostini, Alberto Geri, Fabio Massimo Gatta, Marco Maccioni, Marco Paulucci
Publié dans: 115th edition AEIT 2023 International Annual Conference (AEIT 2023), 2023
Éditeur: IEEE

Distributed generation monitoring: a cost-effective Raspberry Pi-based device

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

Enhancing Cyber Security in IoT Systems using FL-based IDS with Differential Privacy

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

A low-cost smart monitoring device for Demand-side response campaigns

Auteurs: Alberto Geri, Fabio Massimo Gatta, Marco Maccioni, Jacopo Dell'Olmo, Federico Calere, Marco Antonio Bucarelli, Parastou Poursoltan, Navid Hadifar, Marco Paulucci
Publié dans: ICICT 2022, 2022
Éditeur: Springer
DOI: 10.5281/zenodo.7985574

Quantifying Direct Link Establishment Delay between Android Devices

Auteurs: Tomás Lagos Jenschke, Marcelo Dias de Amorim, Serge Fdida
Publié dans: IEEE Conference on Local Computer Networks (LCN), 2022
Éditeur: IEEE
DOI: 10.1109/lcn53696.2022.9843486

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

Auteurs: Marco Antonio Bucarelli, Tommaso Bragatto, Angelo Curci, Marco Maccioni, Jacopo Dell’Olmo, Alberto Geri, Marco Paulucci
Publié dans: 115th edition AEIT 2023 International Annual Conference (AEIT 2023), 2023
Éditeur: IEEE

Implementation Challenges of Single-hop, Device-to-Device Communication in 5G Networks

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

Accuracy analysis of power sensors in compute servers using high precision power analyzer

Auteurs: Manuel Pitz, Niklas Eiling, Felix Wege, Iris Köster, Stefan Lankes, and Antonello Monti
Publié dans: International Supercomputing, 2023
Éditeur: RWTH Aachen University
DOI: 10.18154/rwth-2023-05754

Capabilities-based access control for IoT devices using Verifiable Credentials

Auteurs: Nikos Fotiou, Vasilios A. Siris, George C. Polyzos, Yki Kortesniemi, Dmitrij Lagutin
Publié dans: SafeThings 2022: IEEE Workshop on the Internet of Safe Things, 2022
Éditeur: IEEE
DOI: 10.1109/spw54247.2022.9833873

On the Challenge of Sound Code for Operating Systems

Auteurs: Jonathan Klimt, Martin Kröning, Stefan Lankes, Antonello Monti
Publié dans: 12th Workshop on Programming Languages and Operating Systems, 2023
Éditeur: 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

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

Intelligent Management at the Edge

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

Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks

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

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

Auteurs: Juuso Autiosalo
Publié dans: Aalto University publication series DOCTORAL DISSERTATIONS, Numéro 172/2021, 2021, Page(s) 1-91, ISBN 978-952-64-0621-3
Éditeur: Aalto University

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