Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30731
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dc.contributor.authorBolgouras, Vaios-
dc.contributor.authorPapadamou, Konstantinos-
dc.contributor.authorStroinea, Ioana-
dc.contributor.authorPapadakis, Michail-
dc.contributor.authorGugulea, George-
dc.contributor.authorSirivianos, Michael-
dc.contributor.authorXenakis, Christos-
dc.date.accessioned2023-11-01T10:24:38Z-
dc.date.available2023-11-01T10:24:38Z-
dc.date.issued2023-08-29-
dc.identifier.citation18th International Conference on Availability, Reliability and Security, ARES 2023, Benevento, Italy, 29 August - 1 September 2023en_US
dc.identifier.isbn9798400707728-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30731-
dc.description.abstractThis paper presents a privacy-enhancing identity management platform designed to address the challenges associated with online identity verification and privacy protection. INCOGNITO offers a comprehensive solution by leveraging concepts such as Qualified Anonymity and cryptographic credentials, along with technologies including blockchain, Tor Network, and software stacks like Idemix. By employing these mechanisms, INCOGNITO aims to enable users to securely acquire and manage their identity attributes, while preserving their privacy and ensuring compliance with both regulatory bodies and Service Providers' requirements. The platform facilitates the issuance and verification of cryptographic credentials, granting users access to online services based on fine-grained subsets of their identity attributes. Furthermore, the effectiveness and feasibility of the platform are demonstrated through two pilot projects focused on online multimedia content sharing and identifying bots or fake users in online social networks. These pilots showcase the practical applicability of INCOGNITO in solving identity-related challenges while safeguarding user privacy and security.en_US
dc.language.isoenen_US
dc.rights© ACMen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectArtificial Intelligenceen_US
dc.subjectCryptographic credentialsen_US
dc.subjectIdentity Managementen_US
dc.subjectPrivacyen_US
dc.titleEnabling Qualified Anonymity for Enhanced User Privacy in the Digital Eraen_US
dc.typeConference Papersen_US
dc.collaborationUniversity of Piraeusen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationResearch & Development, CERTSIGN S.Aen_US
dc.collaborationLstech Espana SLen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.countrySpainen_US
dc.countryRomaniaen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conferenceACM International Conference Proceeding Seriesen_US
dc.identifier.doi10.1145/3600160.3605075en_US
dc.identifier.scopus2-s2.0-85169705760-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85169705760-
cut.common.academicyear2022-2023en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-6500-581X-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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