3 research outputs found
Mitigating Intersection Attacks in Anonymous Microblogging
Anonymous microblogging systems are known to be vulnerable to intersection
attacks due to network churn. An adversary that monitors all communications can
leverage the churn to learn who is publishing what with increasing confidence
over time. In this paper, we propose a protocol for mitigating intersection
attacks in anonymous microblogging systems by grouping users into anonymity
sets based on similarities in their publishing behavior. The protocol provides
a configurable communication schedule for users in each set to manage the
inevitable trade-off between latency and bandwidth overhead. In our evaluation,
we use real-world datasets from two popular microblogging platforms, Twitter
and Reddit, to simulate user publishing behavior. The results demonstrate that
the protocol can protect users against intersection attacks at low bandwidth
overhead when the users adhere to communication schedules. In addition, the
protocol can sustain a slow degradation in the size of the anonymity set over
time under various churn rates