Technology Category
Planning, Routing, and Scheduling: Scheduling under UncertaintyMachine Learning: PrivacySearch and Optimization: Mixed Discrete/Continuous Search
Reliable and Private Anonymous Routing for Satellite Constellations
🤖 AI Summary
This work addresses the challenge of preserving metadata privacy in low Earth orbit (LEO) satellite networks, where high dynamics and a hybrid trust environment undermine conventional anonymous routing schemes. To this end, the authors propose an enhanced anonymous routing architecture that integrates an improved Loopix mix network, erasure coding–based multipath transmission, efficient private information retrieval (PIR), and a centrality-driven adaptive delay strategy. This integrated design effectively mitigates link disruptions, prevents directory leakage, and achieves an optimized trade-off between anonymity and communication latency. Simulation results demonstrate that the system, when deployed over commercial satellite infrastructure, achieves near-zero message loss, incurs manageable PIR overhead, and supports highly anonymous communication.
Technology Category
Application Category
📝 Abstract
Shared, dynamic network infrastructures, such as dual-use LEO satellite constellations, pose critical threats to metadata privacy, particularly for state actors operating in mixed-trust environments. This work proposes an enhanced anonymity architecture, evolving the Loopix mix-network, to provide robust security and reliability in these volatile topologies. We introduce three primary contributions: (1) A multi-path transport protocol utilizing $(n, k)$ erasure codes, which is demonstrated to counteract the high link volatility and intermittent connectivity that renders standard mix-networks unreliable. (2) The integration of a computationally efficient Private Information Retrieval (PIR) protocol during route discovery. (3) The introduction of adaptive, centrality-based delay strategies that efficiently mitigate the inherent topological bias of LEO networks, providing a superior anonymity-to-latency trade-off. This mechanism provably prevents metadata leakage at the user-provider directory, mitigating profiling and correlation attacks. We validate this architecture via high-fidelity, packet-level simulations of a LEO constellation. Empirical results show our multi-path transport achieves near-zero message loss, establishing a quantifiable trade-off between reliability and bandwidth overhead. Furthermore, microbenchmarks of the PIR protocol quantify its computational and latency overheads, confirming its feasibility for practical deployment. This work provides a validated blueprint for deployable high-anonymity communication systems, demonstrating the viability of securely multiplexing sensitive operations within large-scale commercial network infrastructures.
Problem
Research questions and friction points this paper is trying to address.
metadata privacy
satellite constellations
anonymous routing
mixed-trust environments
link volatility
Innovation
Methods, ideas, or system contributions that make the work stand out.
multi-path transport
Private Information Retrieval (PIR)
adaptive delay strategy
LEO satellite constellations
metadata privacy
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