KIT | KIT-Bibliothek | Impressum | Datenschutz

Aimless Onions: Mixing without Topology Information

Schadt, Daniel ORCID iD icon 1; Coijanovic, Christoph ORCID iD icon 1; Strufe, Thorsten ORCID iD icon 1
1 Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract:

Mix networks allow communication with strong anonymity guarantees. In theory, mix networks can scale indefinitely, as additional nodes can be added to the network to support new users. However, one factor that limits scalability in current designs is the need for all clients to know both the identity and the key of every available mix node. In circuit-based onion routing, a mechanism that does not require this knowledge to be globally available exists, but it relies on the interactivity of the circuit construction to keep its security guarantees. We therefore set out to investigate whether we can transfer such a mechanism to the context of message-based mix networks. In this paper, we propose Aimless Onions, the first mix format that enables clients to create onions in a mix network without knowing which nodes are available. Rather than downloading topology information, clients only need to acquire constant-size public parameters. Thus, Aimless Onions overcomes an important scalability limitation in mix networks, while retaining the same security guarantees as the state of the art. Using Aimless Onions, clients sending 25 messages per hour save 74% of bandwidth compared to using Spinx packets and topology information download, even at today's network sizes.


Verlagsausgabe §
DOI: 10.5445/IR/1000183476
Veröffentlicht am 28.07.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 2299-0984
KITopen-ID: 1000183476
HGF-Programm 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Erschienen in Proceedings on Privacy Enhancing Technologies
Verlag De Gruyter
Band 2025
Heft 4
Seiten 293–307
Nachgewiesen in OpenAlex
Dimensions
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page