Mixnets on a Tightrope: Quantifying the Leakage of Mix Networks Using a Provably Optimal Heuristic Adversary

Sebastian Meiser, Debajyoti Das, Moritz Kirschte, Esfandiar Mohammadi, Aniket Kate

Abstract: Mixnets are widely believed to hide communication metadata of individuals. We show that there are various pitfalls when designing mixnet topologies and routing strategies, in particular when choosing mixnets with low delays. We introduce a tool that empirically evaluates such leakage in mixnets and show that this tool precisely estimates this leakage for recipient anonymity, up to an error introduced by sampling. First, we introduce a novel generic attack strategy that we even prove to be optimal for breaking recipient anonymity. In contrast to prior work, our attack strategy incorporates the severity of each observation's leakage, via its so-called privacy loss. Second, our tool provides a lower bound on an attacker's advantage against recipient anonymity by sampling a large set of observations; if a significant number of observations with high privacy loss is observed, the tool outputs a lower bound on the leakage by providing a lower bound on the mass of the tail of the distribution of privacy losses. From the literature, we study the topology and routing strategies of the Karaoke and Atom protocols, provide bounds on their leakage, and recommend design choices based on the analysis.