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
Document describing existing support, porting efforts and enablement of Wasm, eBPF and TEE technologies on the edge and far-edge IoT nodes.
Wasm and eBPF Landscape (se abrirá en una nueva ventana)Comprehensive report that summarises the findings, identifies the gaps in the existing knowledge and provides recommendations for future research and development efforts in the area of Wasm and eBPF technologies.
Lightweight and Robust Orchestrating Mechanisms - Initial version (se abrirá en una nueva ventana)Document describing design of lightweight, efficient and secure orchestration mechanisms that leverage Wasm and eBPF technologies.
Lightweight Confidential Computing Platform - Initial version (se abrirá en una nueva ventana)Report that describes in-depth research on TEE-supported enclaves, their Wasm-based runtime and design and implementation of confidential computing platform with remote attestations.
Specification of the ELASTIC Demonstrators and validation plan (se abrirá en una nueva ventana)Specification of the demonstrators with the plan for validation of each component developed by ELASTIC. Identification of the KPIs for validation and metrics.
Initial communication, dissemination, standardisation and exploitation activities (se abrirá en una nueva ventana)This will be a report summarising all activities related to dissemination, communication, ecosystem building, standardisation, IPR management and exploitation during the first half of the project.
Plan for dissemination and exploitation including communication activities (se abrirá en una nueva ventana)Describe the detailed dissemination, communication and exploitation plan of the project (including project website, social media channels and branding).
Serverless FaaS with Lightweight Containers (se abrirá en una nueva ventana)Document describing design of serverles FaaS orchestration that leverage novel Wasm and eBPF technologies.
Publicaciones
Autores:
Ghazal Shanavar
Publicado en:
2025
Editor:
Aalto University
Autores:
Arne Dierickx
Publicado en:
2024
Editor:
Ghent University
Autores:
Friedrich Vandenberghe
Publicado en:
2024
Editor:
Ghent University
Autores:
Wouter Hennen
Publicado en:
2024
Editor:
Ghent University
Autores:
Warre Dujardin
Publicado en:
2024
Editor:
Ghent University
Autores:
Stavros Eleftherakis, Domenico Giustiniano, Nicolas Kourtellis
Publicado en:
18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2025
Editor:
ACM
DOI:
10.1145/3734477.3734716
Autores:
Eduard Marin, Jinwoo Kim, Alessio Pavoni, Mauro Conti, and Roberto Di Pietro
Publicado en:
30th European Symposium on Research in Computer Security (ESORICS 2025), 2025
Editor:
Springer
DOI:
10.5281/ZENODO.17130586
Autores:
Robert Ganian, Liana Khazaliya, Fionn Mc Inerney, Mathis Rocton
Publicado en:
13th International Conference on Learning Representations (ICLR 2025), 2025
Editor:
arXiv
DOI:
10.5281/ZENODO.15222287
Autores:
Rosario Rizza, Riccardo Sisto, Fulvio Valenza
Publicado en:
2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025, ISBN 979-8-3315-3591-9
Editor:
IEEE
DOI:
10.5281/ZENODO.16910189
Autores:
Syafiq Al Atiiq, Christian Gehrmann, Karim Khalil, Jakob Sternby, Yachao Yuan
Publicado en:
Cluster Computing, 2025, ISSN 1573-7543
Editor:
Springer
DOI:
10.5281/ZENODO.17151657
Autores:
Heikkilä, Mikko
Publicado en:
On Using Secure Aggregation in Differentially Private Federated Learning with Multiple Local Steps, 2025, ISSN 2835-8856
Editor:
Transactions on Machine Learning Research (TMLR)
DOI:
10.5281/ZENODO.17293440
Autores:
Mikko A. Heikkilä
Publicado en:
Transactions on Machine Learning Research (TMLR), 2025, ISSN 2835-8856
Editor:
Transactions on Machine Learning Research
DOI:
10.48550/ARXIV.2407.19286
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