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Sicherheit und Datenschutz in nicht-interaktiven Crowdsourcing Szenarien
Citation Link: https://doi.org/10.15480/882.1246
Publikationstyp
Doctoral Thesis
Publikationsdatum
2015-07
Sprache
German
Author
Advisor
Gollmann, Dieter
Referee
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2015-06-03
In non-interactive crowdsourcing scenarios devices send data to a provider in real-time without user interaction, which leads to security and privacy demands. This thesis completely defines and illustrates these requirements for the first time using two scenarios. Among other things, it can be shown that user tracking is possible in modern navigation systems and that real-time traffic data can be manipulated unnoticed. In order to avoid such attacks two protocols are presented on the basis of zero-knowledge protocols and their practicality is proven on different devices. The implementation of zero-knowledge protocols is time-consuming. For this reason, a domain-specific input language is introduced in order to simplify the description of zero-knowledge protocols. A compiler translates the input language into an arbitrary target language. The intermediate code of the compiler is described by special macros, which make the integration of existing C++ code easier than in other compiler concepts. Due to the special presentation of the intermediate code, an automatic optimization of compute-intensive long-number operations is possible. Compared to a CPU implementation, graphics cards and the introduction of new algorithms increase the throughput of modular exponentiations by a factor of ten.
Schlagworte
Sicherheit
Datenschutz
Crowdsourcing
Zero-Knowledge
Smart Grid
Floating Car Data
GPU
DDC Class
004: Informatik
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Dissertation_Tobias_Jeske.pdf
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