Privacy-Preserved Credit Data Sharing Integrating Blockchain And Federated Learning For Industrial 4.0

ABSTRACT

The rapidly increasing volume of user credit-related data generated by connected devices in the Industrial Internet of Things (IIoT) paradigm opens up new possibilities for improving the quality of service for emerging applications through credit data sharing. However, security and privacy issues (such as credit data leakage) are significant barriers to credit data providers and applications sharing their data in wireless networks. Leakage of private credit data can lead to serious problems, not only in terms of financial loss for the data provider, but also in terms of illegal use of personal credit data. In particular, the economic recovery after the global COVID-19 pandemic has further boosted the demand for efficient, secure credit models for Industry 4.0, which could alleviate the potential credit crisis under financial pressure. IEEE