  Anonymous networks have enabled secure and anonymous communication between
the users and service providers while maintaining their anonymity and privacy.
The hidden services in the networks are dynamic and continuously change their
domains and service features to maintain anonymity and prevent fingerprinting.
This makes modelling of such networks a challenging task. Further, modelling
with crisp graphs is not suitable as they cannot capture the dynamic nature of
the anonymous networks. In this work, we model the anonymous networks using
fuzzy graphs and provide a methodology to simulate and analyze an anonymous
network. We consider the case studies of two popular anonymous communication
networks: Tor and Freenet, and show how the two networks can be analyzed using
our proposed fuzzy representation.
