David Förster examines privacy protection for vehicular communication under the assumption of an attacker that is able to compromise back-end systems – motivated by the large number of recent security incidents and revelations about mass surveillance. The author aims for verifiable privacy protection enforced through cryptographic and technical means, which safeguards user data even if back-end systems are not fully trusted. Förster applies advanced cryptographic concepts, such as anonymous credentials, and introduces a novel decentralized secret sharing algorithm to fulfill complex and seemingly contradicting requirements in several vehicle-to-x application scenarios. Many of the concepts and results can also be applied to other flavors of internet of things systems.
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Table des matières
A Large-scale Evaluation of Pseudonym Change Strategies.- A Pseudonym System with Strong Privacy Guarantees.- An Application for Privacy-preserving Analysis of Traffic Flows.
A propos de l’auteur
David Förster completed his dissertation at Ulm University while working in the Corporate Research department of a leading German automotive supplier. He has worked as a consultant for IT security for several years and holds a degree in Computer Science from the Karlsruhe Institute of Technology.
Langue Anglais ● Format PDF ● Pages 150 ● ISBN 9783658185503 ● Taille du fichier 3.1 MB ● Maison d’édition Springer Fachmedien Wiesbaden ● Lieu Wiesbaden ● Pays DE ● Publié 2017 ● Téléchargeable 24 mois ● Devise EUR ● ID 5080369 ● Protection contre la copie DRM sociale
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