We motivate and introduce our design and development of a secure submission front-end for online whistleblowing platforms. Our system is designed to provide a level of anonymity in the face of adversaries who can perform end-to-end traffic analysis. © 2013 Springer-Verlag.
CITATION STYLE
Roth, V., Güldenring, B., Rieffel, E., Dietrich, S., & Ries, L. (2013). A secure submission system for online whistleblowing platforms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7859 LNCS, pp. 354–361). https://doi.org/10.1007/978-3-642-39884-1_30
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