Title: A Trustworthy Evaluation System Based on Blockchain
Authors: Haokai Ji, Chundong Wang, Xu Jiao, Xiuliang Mo and Wenjun Yang
Abstract: With the development of the Internet, online shopping, online movies, online music and other online services are greatly convenient for people's life. However, due to the widespread false information in these websites, the interests of users and privacy are threatened. To address this problem, we designed a trustworthy evaluation system based on blockchain named TESB2. TESB2 uses blockchain technology to effectively protect the data and privacy of users. It effectively guides the evaluation behavior of users and ensures the fairness and credibility of evaluation information by combining the evaluation behavior of users with reputation rewards and punishments. And we innovatively propose a malicious user detection method by combining blockchain technology and machine learning algorithm. Finally, we showed TESB2 through the movie scenario, and its performance was satisfactory.
