%0 Computer Program %A Jense, Juno %A Dekker, Florine %D 2025 %T Source code underlying the publication: Privacy-Preserving Peer-to-Peer Cycle Detection %U %R 10.4121/d23e6d7d-15d9-4c83-86de-5a3fc1fd5aa6.v1 %K cycle detection %K privacy-preserving %K multi-party computation %K secure computation %X
Python code to reproduce results presented in the paper "Privacy-Preserving Peer-to-Peer Cycle Detection".
Runs an implementation of the distributed cycle detection protocol and measures its runtime and communication performance. Performance is measured on randomly generated Barabási–Albert graphs for a range of graph densities and searched-for cycle lengths. For each graph, the protocol is repeated in its entirety for each node. Average results for each set of input parameters are written to a CSV file, which can be plotted in figures using the included code.
Usage
See README.md
inside the git repository for detailed usage instructions.
Code
The source code is available as a git repository. The relevant code is stored in the src
directory.