Saba Eskandarian (University of North Carolina at Chapel Hill), Dan Boneh (Stanford University)

This paper studies the role of multiparty shuffling protocols in enabling more efficient metadata-hiding communication. We show that the process of shuffling messages can be expedited by having servers collaboratively shuffle and verify secret-shares of messages instead of using a conventional mixnet approach where servers take turns performing independent verifiable shuffles of user messages. We apply this technique to achieve both practical and asymptotic improvements in anonymous broadcast and messaging systems. We first show how to build a three server anonymous broadcast scheme, secure against one malicious server, that relies only on symmetric cryptography. Next, we adapt our three server broadcast scheme to a k-server scheme secure against k-1 malicious servers, at the cost of a more expensive per-shuffle preprocessing phase. Finally, we show how our scheme can be used to significantly improve the performance of the MCMix anonymous messaging system.

We implement our shuffling protocol in a system called Clarion and find that it outperforms a mixnet made up of a sequence of verifiable (single-server) shuffles by 9.2x for broadcasting small messages and outperforms the MCMix conversation protocol by 11.8x.

View More Papers

Local and Central Differential Privacy for Robustness and Privacy...

Mohammad Naseri (University College London), Jamie Hayes (DeepMind), Emiliano De Cristofaro (University College London & Alan Turing Institute)

Read More

Demo #15: Remote Adversarial Attack on Automated Lane Centering

Yulong Cao (University of Michigan), Yanan Guo (University of Pittsburgh), Takami Sato (UC Irvine), Qi Alfred Chen (UC Irvine), Z. Morley Mao (University of Michigan) and Yueqiang Cheng (NIO)

Read More

DRIVETRUTH: Automated Autonomous Driving Dataset Generation for Security Applications

Raymond Muller (Purdue University), Yanmao Man (University of Arizona), Z. Berkay Celik (Purdue University), Ming Li (University of Arizona) and Ryan Gerdes (Virginia Tech)

Read More