LAMP: Lightweight Approaches for Latency Minimization in Mixnets with Practical Deployment Considerations
Mahdi Rahimi
Network and Distributed System Security (NDSS) Symposium 2025 · Day 2 · Network Security 2
This talk, presented at the NDSS Symposium, introduces LAMP, a novel framework designed to significantly reduce end-to-end latency in **continuous mix networks** without compromising their crucial anonymity properties. The work, a collaboration by Pushkumar Sharma, Mahdi Rahimi, and Claudia, addresses a fundamental challenge in metadata security: how to make privacy-enhancing technologies like mixnets practical for a wider range of applications that are sensitive to network delays. By focusing on lightweight and easily deployable solutions, LAMP aims to bridge the gap between theoretical anonymity guarantees and the real-world performance requirements of large-scale systems.
AI review
Legitimate systems research on a real and underappreciated problem — mixnet latency is genuinely an adoption bottleneck, and LAMP's three routing strategies with Nym ground-truth data is credible work. But this is incremental optimization research, not a paradigm shift, and the 3x headline number needs more scrutiny than a summary table can provide.