Improving the Sphinx Mix Network

Filipe Beato, Kimmo Halunen, Bart Mennink

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Secure mix networks consider the presence of multiple nodes that relay encrypted messages from one node to another in such a way that anonymous communication can be achieved. We consider the Sphinx mix formatting protocol by Danezis and Goldberg (IEEE Security and Privacy 2009), and analyze its use of symmetric-key cryptographic primitives. We scrutinize the reliance on multiple distinct primitives, as well as the use of the ancient LIONESS cipher, and suggest various paths towards improving the security and efficiency of the protocol.
    Original languageEnglish
    Title of host publicationCryptology and Network Security
    Subtitle of host publication15th International Conference, CANS 2016, Milan, Italy, November 14-16, 2016, Proceedings
    EditorsSara Foresti, Giuseppe Persiano
    PublisherSpringer
    Pages681-691
    ISBN (Electronic)978-3-319-48965-0
    ISBN (Print)978-3-319-48964-3
    DOIs
    Publication statusPublished - 28 Oct 2016
    MoE publication typeA4 Article in a conference publication
    Event15th International Conference on Cryptology and Network Security - Milan, Italy
    Duration: 14 Nov 201616 Nov 2016

    Publication series

    SeriesLecture Notes in Computer Science
    Volume10052
    ISSN0302-9743

    Conference

    Conference15th International Conference on Cryptology and Network Security
    Abbreviated titleCANS 2016
    CountryItaly
    CityMilan
    Period14/11/1616/11/16

    Keywords

    • Sphinx
    • mix network
    • authenticated encryption
    • sponge

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    Cite this

    Beato, F., Halunen, K., & Mennink, B. (2016). Improving the Sphinx Mix Network. In S. Foresti, & G. Persiano (Eds.), Cryptology and Network Security: 15th International Conference, CANS 2016, Milan, Italy, November 14-16, 2016, Proceedings (pp. 681-691). Springer. Lecture Notes in Computer Science, Vol.. 10052 https://doi.org/10.1007/978-3-319-48965-0_46