Privacy-Enhancing Technologies and Privacy-Enhancing Cryptography for Wearables
| but.committee | prof. Ing. Jaroslav Koton, Ph.D. (předseda) Lukasz Michal Chmielewski, PhD - opponent (člen) Cristiano Pendo, Ph.D., University of Minho, Portugal - opponent (člen) doc. Ing. Jiří Hošek, Ph.D. (člen) doc. Ing. Lukáš Malina, Ph.D. (člen) Ing. Petr Dzurenda, Ph.D. (člen) Prof. Joaquín Huerta (člen) prof. Ing. Jan Hajný, Ph.D. (člen) Assoc. Prof. Joaquín Torres Sospedra, Ph.D. (člen) Assoc. Prof. Michael Gould, Ph.D. (člen) | cs |
| but.defence | Obhajoba práce probíhala hybridní formou, jedna v prostorách FEKT, VUT v Brně a dále v prostředí MS teams. Setkání zahájil předseda prof. Koton, kdy uvítal uchazeče, členy komise a přítomné hosty. Slovo bylo předáno ing. Casanovovi, který v rámci svého vystoupení prezentoval motivaci, dosažené výsledky a perspektivy další vědeckovýzkumné činnosti v oblasti tématu disertace. Následovala otevřená diskuze, především mezi Ing. Casanovou a všemi členy komise a oponenty. Ing. Casanova na dotazy reagoval pohotově a prokázal svoji erudici v oboru. Celková doba veřejného vystoupení trvala 2 hodiny. Následovalo uzavřené jednání členů komise, která tajně hlasovala. Kromě členů komise se veřejné části zúčastnilo také 2 hostů. Celková doba veřejného vystoupení trvala téměř dvě hodiny. Následovalo uzavřené jednání členů komise, která tajně hlasovala. The dissertation defense took place online using MS Teams tool. The event was initiated by the committee chair prof. Koton, who welcomed the applicant, the committee members, and guests. Ing. Casanova was asked to give his presentation, who within his speech discussed the motivation, reached results and perspectives for further research in the area of the dissertation topic. The presentation was followed by open discussion, primarily between Ing. Casanova and all members of the committee and opponents raised their questions. Ing. Casanova always responded promptly and proved his erudition in the area. The public part of the defense took 2 hours. It was followed by non-public meeting of the committee members and secrete vote. Next to the committee members, two guests were also present during the public part. The public part of the defense took almost two hours. It was followed by non-public meeting of the committee members and secrete vote. | cs |
| but.jazyk | angličtina (English) | |
| but.program | Electronics and Information Technologies (Double-Degree) | cs |
| but.result | práce byla úspěšně obhájena | cs |
| dc.contributor.advisor | Hajný, Jan | en |
| dc.contributor.author | Casanova-Marqués, Raúl | en |
| dc.contributor.referee | Pendo,, Cristiano Gonçalves | en |
| dc.contributor.referee | PhD, Lukasz Michal Chmielewski, | en |
| dc.date.created | 2024 | cs |
| dc.description.abstract | The increasing concern surrounding privacy and the safeguarding of digital identities has emphasized the pressing necessity of establishing secure and confidential communication channels. This concern has led to the development of cryptographic mechanisms aimed at facilitating impervious information exchange. Nevertheless, traditional cryptographic approaches are proving insufficient in dynamic and resource-constrained environments, such as wearable devices. As a result, attribute-based credential schemes have emerged as a promising solution, offering fine-grained access control to digital services based on user-specific attributes. This doctoral thesis examines the efficacy and scalability of attribute-based anonymous credential schemes in ensuring the authenticity and security of users within dynamic architectures of wearable devices. It also explores enhancements to these schemes, with a primary focus on incorporating user revocation while maintaining privacy. Additionally, the thesis presents devised mechanisms to enable attribute-based authentication protocols on smart cards with limited support for elliptic curve cryptography. It addresses specific challenges associated with the usability of smart cards. Moreover, the thesis investigates the integration of anonymous authentication schemes in collaborative indoor positioning systems, aiming to provide privacy and security. Lastly, it explores the implementation of attribute-based authentication schemes in resource-constrained environments, with an emphasis on Internet of Things devices, and evaluates their feasibility within the dynamic architectures of wearable devices. The first contribution of this thesis introduces a purposefully designed protocol for anonymous authentication on smart cards. This protocol combines attribute-based credentials and user revocation while ensuring computational efficiency. To facilitate effective implementation and evaluation, the thesis employs smart cards equipped with the MULTOS operating system. The second contribution focuses on optimizing the capabilities of smart cards using Java Card technology for the implementation of attribute-based credential schemes. These smart cards are presented as a more accessible alternative for a wider consumer base. To overcome limitations in their application programming interface, the thesis devises strategies to augment the constrained support for elliptic curve cryptography and effectively implement such schemes. The third contribution presents the Privacy-Enhancing Authentication System, a robust solution compatible with smart cards, smartphones, and smartwatches. This system addresses the functional challenges associated with smart cards, including the absence of a graphical interface and limited user control over attribute disclosure. Consequently, it offers a practical and deployable solution for real-world scenarios. Finally, the thesis proposes a groundbreaking scheme to safeguard collaborative indoor positioning systems by addressing both privacy and security concerns. This scheme ensures the preservation of privacy and security by eliminating centralized architectures and employing encryption techniques for positioning information. The thesis includes comprehensive details such as protocol use cases, implementation specifics, execution benchmarks, and a comparative analysis with existing protocols. | en |
| dc.description.abstract | The increasing concern surrounding privacy and the safeguarding of digital identities has emphasized the pressing necessity of establishing secure and confidential communication channels. This concern has led to the development of cryptographic mechanisms aimed at facilitating impervious information exchange. Nevertheless, traditional cryptographic approaches are proving insufficient in dynamic and resource-constrained environments, such as wearable devices. As a result, attribute-based credential schemes have emerged as a promising solution, offering fine-grained access control to digital services based on user-specific attributes. This doctoral thesis examines the efficacy and scalability of attribute-based anonymous credential schemes in ensuring the authenticity and security of users within dynamic architectures of wearable devices. It also explores enhancements to these schemes, with a primary focus on incorporating user revocation while maintaining privacy. Additionally, the thesis presents devised mechanisms to enable attribute-based authentication protocols on smart cards with limited support for elliptic curve cryptography. It addresses specific challenges associated with the usability of smart cards. Moreover, the thesis investigates the integration of anonymous authentication schemes in collaborative indoor positioning systems, aiming to provide privacy and security. Lastly, it explores the implementation of attribute-based authentication schemes in resource-constrained environments, with an emphasis on Internet of Things devices, and evaluates their feasibility within the dynamic architectures of wearable devices. The first contribution of this thesis introduces a purposefully designed protocol for anonymous authentication on smart cards. This protocol combines attribute-based credentials and user revocation while ensuring computational efficiency. To facilitate effective implementation and evaluation, the thesis employs smart cards equipped with the MULTOS operating system. The second contribution focuses on optimizing the capabilities of smart cards using Java Card technology for the implementation of attribute-based credential schemes. These smart cards are presented as a more accessible alternative for a wider consumer base. To overcome limitations in their application programming interface, the thesis devises strategies to augment the constrained support for elliptic curve cryptography and effectively implement such schemes. The third contribution presents the Privacy-Enhancing Authentication System, a robust solution compatible with smart cards, smartphones, and smartwatches. This system addresses the functional challenges associated with smart cards, including the absence of a graphical interface and limited user control over attribute disclosure. Consequently, it offers a practical and deployable solution for real-world scenarios. Finally, the thesis proposes a groundbreaking scheme to safeguard collaborative indoor positioning systems by addressing both privacy and security concerns. This scheme ensures the preservation of privacy and security by eliminating centralized architectures and employing encryption techniques for positioning information. The thesis includes comprehensive details such as protocol use cases, implementation specifics, execution benchmarks, and a comparative analysis with existing protocols. | cs |
| dc.description.mark | P | cs |
| dc.identifier.citation | CASANOVA-MARQUÉS, R. Privacy-Enhancing Technologies and Privacy-Enhancing Cryptography for Wearables [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2024. | cs |
| dc.identifier.other | 154915 | cs |
| dc.identifier.uri | http://hdl.handle.net/11012/245330 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights | Standardní licenční smlouva - přístup k plnému textu bez omezení | cs |
| dc.subject | Cryptographic protocols | en |
| dc.subject | attribute-based authentication | en |
| dc.subject | attribute-based credentials | en |
| dc.subject | privacy protection | en |
| dc.subject | anonymity | en |
| dc.subject | user revocation | en |
| dc.subject | smart cards | en |
| dc.subject | wearable architectures | en |
| dc.subject | Internet of Things | en |
| dc.subject | collaborative indoor positioning systems | en |
| dc.subject | elliptic curve cryptography. | en |
| dc.subject | Cryptographic protocols | cs |
| dc.subject | attribute-based authentication | cs |
| dc.subject | attribute-based credentials | cs |
| dc.subject | privacy protection | cs |
| dc.subject | anonymity | cs |
| dc.subject | user revocation | cs |
| dc.subject | smart cards | cs |
| dc.subject | wearable architectures | cs |
| dc.subject | Internet of Things | cs |
| dc.subject | collaborative indoor positioning systems | cs |
| dc.subject | elliptic curve cryptography. | cs |
| dc.title | Privacy-Enhancing Technologies and Privacy-Enhancing Cryptography for Wearables | en |
| dc.title.alternative | Privacy-Enhancing Technologies and Privacy-Enhancing Cryptography for Wearables | cs |
| dc.type | Text | cs |
| dc.type.driver | doctoralThesis | en |
| dc.type.evskp | dizertační práce | cs |
| dcterms.dateAccepted | 2024-04-29 | cs |
| dcterms.modified | 2024-08-15-14:22:38 | cs |
| eprints.affiliatedInstitution.faculty | Fakulta elektrotechniky a komunikačních technologií | cs |
| sync.item.dbid | 154915 | en |
| sync.item.dbtype | ZP | en |
| sync.item.insts | 2025.03.27 16:17:47 | en |
| sync.item.modts | 2025.01.17 09:38:24 | en |
| thesis.discipline | bez specializace | cs |
| thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikací | cs |
| thesis.level | Doktorský | cs |
| thesis.name | Ph.D. | cs |
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