Mirage: Private, Mobility-based Routing for Censorship Evasion
Zachary Ratliff, RuoxingYang, Avery Bai, Harel Berger, Micah Sherr, James Mickens
摘要
—In authoritarian and highly surveilled environments, traditional communication networks are vulnerable to censorship, monitoring, and disruption. While decentralized anonymity networks such as Tor provide strong privacy guarantees, they remain dependent on centralized Internet infrastructure, making them susceptible to large-scale blocking or shutdowns. To address these limitations, we present MIRAGE, a privacy-preserving mobility-based messaging system designed for censorship-resistant communication. MIRAGE uses a district-based routing scheme that probabilistically forwards messages based on the high-level mobility patterns of the population. To prevent leakage of individual mobility behavior, MIRAGE protects users’ mobility patterns with local differential privacy, ensuring that participation in the network does not reveal an individual’s location history through observable routing decisions. We implement MIRAGE within Cadence , an open-source simulator that provides a unified framework for evaluating mobility-based protocols using approximated geographical encounters between nodes over time. We analyze the privacy and efficiency tradeoffs of MIRAGE and evaluate its performance against (1) traditional epidemic and random-walk-based routing protocols and (2) the state-of-the-art privacy-preserving geography-based routing protocol, using real-world trajectories— one from pedestrian movement patterns collected in various urban locations and another consisting of GPS traces from taxi operations. Our results demonstrate that MIRAGE significantly reduces message overhead compared to epidemic routing, and outperforms probabilistic flooding in terms of delivery rate, while providing stronger privacy guarantees than existing techniques.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper5
- Locally Differentially Private Protocols for Frequency EstimationTianhao Wang, Jeremiah Blocki, Ninghui Li, Somesh JhaUSENIX Security 2017 · 被引用 629 次
- Conjure: Summoning Proxies from Unused Address SpaceSergey Frolov, Jack Wampler, Sze Chuen Tan, J. Alex Halderman 等CCS 2019 · 被引用 28 次
- Snowflake, a censorship circumvention system using temporary WebRTC proxiesCecylia Bocovich, Arlo Breault, David Fifield, Serene 等USENIX Security 2024 · 被引用 18 次
- NetShuffle: Circumventing Censorship with Shuffle Proxies at the EdgePatrick Tser Jern Kon, Aniket Gattani, Dhiraj Saharia, Tianyu Cao 等S&P 2024 · 被引用 6 次
- How the Great Firewall of China Detects and Blocks Fully Encrypted TrafficMingshi Wu, Jackson Sippe, Danesh Sivakumar, Jack Burg 等USENIX Security 2023
相关 Paper
- Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond DatasaurusBangchao Deng, Xin Jing, Tianyue Yang, Bingqing Qu 等KDD 2025 · 被引用 3 次
- PateGAIL++: Utility Optimized Private Trajectory Generation with Imitation LearningYingjie Ma, Bijal Bharadva, Xin Zhang, Joann Qiongna ChenICLR 2026
- GAME OF DECOYS: Optimal Decoy Routing Through Game TheoryMilad Nasr, Amir HoumansadrCCS 2016 · 被引用 25 次
- The Waterfall of Liberty: Decoy Routing Circumvention that Resists Routing AttacksMilad Nasr, Hadi Zolfaghari, Amir HoumansadrCCS 2017 · 被引用 43 次
- Sparta: Practical Anonymity with Long-Term Resistance to Traffic AnalysisKyle Fredrickson, Ioannis Demertzis, James P. Hughes, Darrell D. E. LongS&P 2025
