CRNov 17, 2020

SoK on Performance Bounds in Anonymous Communication

arXiv:2011.08536v11 citations
AI Analysis

This work clarifies and corrects existing performance bounds for researchers and developers working on anonymous communication protocols, by identifying inaccuracies and suggesting more realistic assumptions.

This paper systematizes the field of performance bounds in anonymous communication by harmonizing models and comparing existing theoretical results. It demonstrates that many attacks break weaker privacy goals than claimed, leading to tightened bounds, and shows the equivalence of two previously distinct bounds.

Communicating anonymously comes at a cost - and large communities have been in a constant tug-of-war between the development of faster protocols, and the improvement of security analyses. Thereby more intricate privacy goals emerged and more detailed bounds on the minimum overhead necessary to achieve them were proven. The entanglement of requirements, scenarios, and protocols complicates analysis, and the published results are hardly comparable, due to deviating, yet specific choices of assumptions and goals (some explicit, most implicit). In this paper, we systematize the field by harmonizing the models, comparing the proven performance bounds, and contextualizing these theoretical results in a broad set of proposed and implemented systems. By identifying inaccuracies, we demonstrate that the attacks, on which the results are based, indeed break much weaker privacy goals than postulated, and tighten the bounds along the way. We further show the equivalence of two seemingly alternative bounds. Finally, we argue how several assumptions and requirements of the papers likely are of limited applicability in reality and suggest relaxations for future work.

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