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CORDIS - Risultati della ricerca dell’UE
CORDIS

IdeNtity verifiCatiOn with privacy-preservinG credeNtIals for anonymous access To Online services

Risultati finali

Decentralized Identity and Consent Management

Extension of the developed platform to support the decentralized management of identity attributes using blockchain Implementation of a web application that will allow endusers to set their consent management preferences based on UMA User Managed Access standard

Final integrated system

Demonstration of the fully integrated INCOGNITO system

Artificial Intelligence (AI)-based assistant user experience assessment

Assessment of the enduser experience with the interactions of the automated assistant

Pilots in operation and end user assessment report

Demonstration of the pilots including final report on end users experience with detailed assessment for each pilots user group

Trusted computing for enhanced anonymous credentials

This deliverable will describe the integration of Trusted computing solutions to anonymous credentials as well as the performance evaluation of the developed solution

Specification and initial design of the Advanced User Experience / User Interface (UI/UX) Artificial Intelligence (AI)-based assistant pipeline

This deliverable documents the first stage of the design and components prototyping of the machine learning pipeline that will be the pillar of the Artificial Intelligence (AI)-based assistant.

Advanced security and privacy solutions

Security and privacy enhancements on the developed software stack as well as anonymized networks such as TOR The Onion Router

Pilots initial set up and progressing initial setup of the two pilots

The two pilots will be set up and first tests will run to prove their usability

Federated anonymous credentials

Design and implementation of the qualified anonymous framework that will be based on the cryptographic credentials software stacks. Integration of anonymous framework with device-centric authentication solutions such as FIDO (Fast IDentity Online).

Reference architecture

Report on system architecture, components and interfaces.

Identity Acquisition and Integration Platform

Full identity acquisition through a web and mobile application that will support acquisition from multiple soft proofs of identities and online accounts.

Initial system design and prototyping

This deliverable demonstrates the initial stand-alone prototype of the INCOGNITO system, to be used as basis for the initial pilot activities.

Overall user assessment

User experience assessment of all the developed software and refinements according to the obtained feedback

Pubblicazioni

Trusted and Secure Self-Sovereign Identity framework

Autori: Vaios Bolgouras; Anna Angelogianni; Ilias Politis; Christos Xenakis
Pubblicato in: Crossref, Numero 7, 2022, ISBN 978-1-4503-9670-7
Editore: Association for Computing Machinery
DOI: 10.1145/3538969.3544436

Multi-Attribute Decision Making-based Trust Score Calculation in Trust Management in IoT

Autori: Michail Bampatsikos; Ilias Politis; Vaios Bolgouras; Christos Xenakis
Pubblicato in: Crossref, Numero 4, 2023
Editore: ACM
DOI: 10.1145/3600160.3605074

Enabling Qualified Anonymity for Enhanced User Privacy in the Digital Era

Autori: Vaios Bolgouras, Konstantinos Papadamou, Ioana Stroinea, Michail Papadakis, George Gugulea, Michael Sirivianos, Christos Xenakis
Pubblicato in: 2023, ISBN 979-8-4007-0772-8
Editore: Association for Computing Machinery
DOI: 10.1145/3600160.3605075

Securing the Flow: Security and Privacy Tools for Flow-based Programming

Autori: Thodoris Ioannidis, Vaios Bolgouras, Christos Xenakis, Ilias Politis
Pubblicato in: 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3600160.3605089

BRIDGE: BRIDGing the gap bEtween CTI production and consumption

Autori: Marios Karatisoglou; Aristeidis Farao; Vaios Bolgouras; Christos Xenakis
Pubblicato in: 2022 14th International Conference on Communications (COMM), Numero 1, 2022
Editore: IEEE
DOI: 10.1109/comm54429.2022.9817359

[Preprint] ObjectMap: Detecting Insecure Object Deserialization

Autori: Koutroumpouchos Nikolaos; Lavdanis Georgios; Eleni, Veroni; Ntantogian Christoforos; Xenakis Christos
Pubblicato in: PCI '19: Proceedings of the 23rd Pan-Hellenic Conference on Informatics, 2019, Pagina/e 67-72
Editore: ICPS Proceedings
DOI: 10.5281/zenodo.3553676

P4G2Go: A Privacy-Preserving Scheme for Roaming Energy Consumers of the Smart Grid-to-Go.

Autori: Aristeidis Farao; Eleni Veroni; Christoforos Ntantogian; Christos Xenakis
Pubblicato in: Numero 8, Numero 5, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21082686

Defense strategies for Adversarial Machine Learning: A survey

Autori: Panagiotis Bountakas, Apostolis Zarras, Alexios Lekidis, Christos Xenakis
Pubblicato in: Computer Science Review, 2023, ISSN 1574-0137
Editore: Elsevier BV
DOI: 10.1016/j.cosrev.2023.100573

A Unified Graph-Based Approach to Disinformation Detection Using Contextual and Semantic Relations

Autori: Marius Paraschiv; Nikos Salamanos; Costas Iordanou; Nikolaos Laoutaris; Michael Sirivianos
Pubblicato in: International AAAI Conference on Web and Social Media (ICWSM 2022), Numero 8, 2022, ISSN 2334-0770
Editore: AAAI Press
DOI: 10.1609/icwsm.v16i1.19331

Killing the Password and Preserving Privacy with Device-Centric and Attribute-based Authentication

Autori: Kostantinos Papadamou; Savvas Zannettou; Bogdan-Cosmin Chifor; Sorin Teican; George Gugulea; Annamaria Recupero; Alberto Caponi; Claudio Pisa; Giuseppe Bianchi; Steven Gevers; Christos Xenakis; Michael Sirivianos
Pubblicato in: IEEE Transactions on Information Forensics and Security, Numero 15, 2019, Pagina/e 2183 - 2193, ISSN 1556-6013
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.5281/zenodo.3578089

Building Trust for Smart Connected Devices: The Challenges and Pitfalls of TrustZone.

Autori: Nikolaos Koutroumpouchos; Christoforos Ntantogian; Christos Xenakis
Pubblicato in: ZENODO, Numero 8, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21020520

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