Research on the Reasoning Credibility of Privacy Infringement Risk Monitoring System Based on Blockchain

As privacy protection policies continue to be strengthened, regulators are imposing harsher penalties for privacy infringement incidents. Driven by the profit factor, companies naturally wish to conceal and not report personal privacy infringements in their organizations. Therefore, it is crucial to ensure the credibility of the evidential data obtained by the privacy infringement risk monitoring system and the models and rules of the inference framework employed. In this paper, we analyze various factors affecting the inference trustworthiness of the privacy infringement risk monitoring system in cross-domain scenarios, propose improvement measures and methods to improve the inference trustworthiness of the system, define quantitative indicators and technical requirements for the design of the inference trustworthiness of the system based on the CF model, and verify the effectiveness of the inference trustworthiness design method of the privacy infringement risk monitoring system in cross-domain scenarios.