Publicaties
Mixnet optimization methods KU Leuven
Mix networks KU Leuven
MiXiM: Mixnet Design Decisions and Empirical Evaluation KU Leuven
In this paper we present MiXiM, a simulation framework for mixnets that allows researchers to evaluate different design options and their tradeoffs. This framework is flexible and allows to quickly run experiments to assess combinations of mixnet building blocks, such as mixing strategies and network topologies, as well as study the effect of different parameters related to each component. The framework provides results for a number of metrics ...
The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion KU Leuven
Online tracking is a whack-a-mole game between trackers who build and monetize behavioral user profiles through intrusive data collection, and anti-tracking mechanisms, deployed as a browser extension, built-in to the browser, or as a DNS resolver. As a response to pervasive and opaque online tracking, more and more users adopt anti-tracking tools to preserve their privacy. Consequently, as the information that trackers can gather on users is ...
IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale KU Leuven
The proliferation of smart home devices has created new opportunities for empirical research in ubiquitous computing, ranging from security and privacy to personal health. Yet, data from smart home deployments are hard to come by, and existing empirical studies of smart home devices typically involve only a small number of devices in lab settings. To contribute to data-driven smart home research, we crowdsource the largest known dataset of ...