  Disclosure attacks aim at revealing communication patterns in anonymous
communication systems, such as conversation partners or frequency. In this
paper, we propose a framework to compare between the members of the statistical
disclosure attack family. We compare different variants of the Statistical
Disclosure Attack (SDA) in the literature, together with two new methods; as
well as show their relation with the Least Squares Disclosure Attack (LSDA).
  We empirically explore the performance of the attacks with respect to the
different parameters of the system. Our experiments show that i) our proposals
considerably improve the state-of-the-art SDA and ii) confirm that LSDA
outperforms the SDA family when the adversary has enough observations of the
system.
