Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6884272 | Computers & Security | 2015 | 13 Pages |
Abstract
Evaluating and improving the performance of mix-based anonymity systems in a real-world setting is critical to foster their adoption. However, current research in this field mostly employs unrealistic models for evaluation purposes. Moreover, previously documented results are often difficult to reproduce. We propose two complementary models tailored to the evaluation of mix-based anonymity services. The models enable realistic experiments and are easy to use as they allow to automatically extract workloads from trace files recorded in real networks and replay them in simulations. We also describe our ready-to-use open source evaluation suite that implements the models. Given the suite, researchers can easily create and re-use well-defined workload sets for evaluation purposes. The workloads can be replayed both in discrete-event simulations and distributed experiments. With this initiative we want to foster open research in our discipline.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Karl-Peter Fuchs, Dominik Herrmann, Hannes Federrath,