Fuzzy Graph Modelling of Anonymous Networks
This work addresses the problem of modeling anonymous networks for researchers and practitioners, but it is incremental as it applies an existing fuzzy graph method to a new domain.
The authors tackled the challenge of modeling dynamic anonymous networks like Tor and Freenet by using fuzzy graphs, which allowed them to simulate and analyze these networks effectively.
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.