Livrables
This deliverable will report on the relevant stateoftheart in safety analysis and will provide an initial version of 1 safety EDDI a generic toolagnostic concept for safety analysis that enables efficient MRS safety analysis at designtime and runtime and 2 a safety analysis methodology for applying the concept
Security-Targeted ODE and EDDI SpecificationThis deliverable will present the extensions to the ODE metamodel with securityspecific concerns for MRS This work is performed in Task 52
Safety-Security Co-Engineering FrameworkThis report will describe the co engineering process of design artefacts ExSce with safety and security analysis artefacts EDDIs
Architectural Guidelines ReportThis deliverable will detail the core design decisions and architectural guidelines that will ensure that the contributions of WP27 will be interoperable by construction
Safety-Targeted ODE and EDDI specificationThis deliverable is an extended version of the ODE metamodel that will address the issues mentioned in the Task 42 The metamodel will be accompanied by appropriate documentation and relevant digital artefacts
Tailorability of EDDIsThis deliverable will report the results of Task 53 including the techniques developed for making EDDIs tailorable and reusable in different applications and operational domains
Evaluation Method EstablishmentThis deliverable will present the methodology for evaluation of SESAME solutions within use cases defined criteria and KPIs
This deliverable will present the metamodels for scenario-based design from Task 3.2 and an initial version of the scenario workbench from Task 3.3.
Tools for Generation of Runtime EDDIsThis deliverable will report the transformation and code generation tools developed to support the semi-automatic generation of runtime EDDIs in Task 7.2.
Tools for Automated Security Analysis of MRS and for Production of EDDIsThis deliverable will provide an initial version of the techniques and tools developed in Task 5.5 for vulnerability scanning and intrusion detection through incoming packet inspection for MRS.
Tools for Automated Quality Assurance of EDDI-Supported MRS (Initial Version)This deliverable will provide an initial version of the SESAME quality assurance toolset. The toolset will support testing of data-generating and learning components of MRS and robustness and fuzzing testing for EDDIs.
Tools for Automated Safety Analysis of MRS and for Production of EDDIs (Initial Version)The deliverable will detail the initial version of EDDI-specific tool extensions in HiP-HOPS and safeTbox.
A public website describing the project objectives ap proach partners involved and expected results in the initial version Later updates will include announcements of workshops and conferences downloadable papers and articles and the public deliverables from the project The website will be updated periodically
Project Presentation and BrochureMaterials to present the project to interested parties including details on the technical challenges and the approaches being developed within the project to address the challenges the expected impact from both a technical and societal standpoint and where to obtain further information and details concerning the project research and development work
Report documenting the consortiums data management plan in compliance with the guidelines provided in Annex 2 of the EC Guidelines on Data Management in Horizon 2020 document More specifically the deliverable will outline how research data will be collected handled and made available to the community during and after the lifespan of SESAME This will be a live document that will evolve beyond its delivery and capture the current status of each data set used in the project including its name and description any standards that it conforms to a description of how it is shared with the community or why it cannot be shared and a plan for long term archiving and preservation
Publications
Auteurs:
Armengaud, E.; Schneider, D.; Reich, J.; Sorokos, I.; Papadopoulos, Y.; Zeller, M.; Regan, G.; Macher, G.; Veledar, O.; Thalmann, S.; Kabir, Sohag
Publié dans:
Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 2021
Éditeur:
IEEE
DOI:
10.23919/date51398.2021.9474049
Auteurs:
Salman Omar Sohaily, Alex Mitrevskiyx, Nico Hochgeschwendery, and Paul G. Ploger
Publié dans:
Proceedings 10th European Conference on Mobile Robots, 2021, ISBN 978-1-6654-1213-1
Éditeur:
IEEE Explore
DOI:
10.1109/ecmr50962.2021
Auteurs:
Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Mendez
Publié dans:
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022), Numéro 16130073, 2022, ISSN 1613-0073
Éditeur:
CEUR-WS.org
Auteurs:
Schmidt, Andreas & Reich, Jan & Sorokos, Ioannis
Publié dans:
Proceedings 17th European Dependable Computing Conference (EDCC), 2021
Éditeur:
IEEE Explore
DOI:
10.1109/edcc53658.2021.00016
Auteurs:
Simos Gerasimou; Javier Cámara; Radu Calinescu; Naif Alasmari; Faisal Alhwikem; Xinwei Fang
Publié dans:
IEEE International Conference on Automated Software Engineering (ASE), 2022
Éditeur:
IEEE
DOI:
10.1109/ase51524.2021.9678727
Auteurs:
Junlin Song; Pedro J. Sanchez-Cuevas; Miguel Olivares-Mendez
Publié dans:
Proceedings 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022
Éditeur:
IEEE
DOI:
10.1109/icuas54217.2022.9836134
Auteurs:
James Harbin; Simos Gerasimou; Nicholas Matragkas; Athanasios Zolotas; Radu Calinescu
Publié dans:
Proceedings of ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS), 2021
Éditeur:
IEEE
DOI:
10.1109/models50736.2021.00040
Auteurs:
Claudio Cimarelli, Hriday Bavle, Jose Luis Sanchez-Lopez and Holger Voos
Publié dans:
Sensors - Special Numéro - Aerial Robotics: Navigation and Path Planning, Numéro 14248220, 2022, ISSN 1424-8220
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/s22072651
Auteurs:
Paul Kremer; Jose Luis Sanchez-Lopez; Holger Voos
Publié dans:
Journal of Intelligent & Robotic Systems, Numéro 15730409, 2022, ISSN 1573-0409
Éditeur:
Springer
DOI:
10.48550/arxiv.2206.08644
Auteurs:
P. Kremer, H. R. Nohooji, J. L. Sánchez-López, H. Voos
Publié dans:
IEEE Access, Numéro 21693536, 2022, ISSN 2169-3536
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.48550/arxiv.2208.10768
Auteurs:
Soheyl Moheb Khodayee, Ferdinando Chiacchio, Yiannis Papadopoulos
Publié dans:
IEEE Access, Numéro 21693536, 2021, ISSN 2169-3536
Éditeur:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2021.3069807
Recherche de données OpenAIRE...
Une erreur s’est produite lors de la recherche de données OpenAIRE
Aucun résultat disponible