Attack strategies and analysis for trust and reputation systems

Dataset supports: Gunes, T. D., Tran-Thanh, L., & Norman, T. (2019). Identifying vulnerabilities in trust and reputation systems. Paper presented at International Joint Conference on Artificial Intelligence, Macao, China.This software package contains the implementation of following components: (1) Implementation of several popular and state-of-the-art trust and reputation systems; (2) two attack search mechanisms that can treat models as a blackbox. (3) a simulation environment for generating populations for benchmarking. The license for the use of this software is based on BSD, and a free commercial license is available; details provided in the source code. Details are provided in the source code. Please see the README.txt file for further information. File size: 81039403 bytes SHA256 checksum: 3804b83f1968a157eb4603ec870a3eeb30613d702dc2495b7f077c6a1b6490c0