 |
Our paper presents a consortium blockchain-based data-sharing model that ensures privacy while maintaining the reliability of personal data as legal evidence.
Unlike existing models that primarily verify user identity and access rights, our approach directly protects the original data, minimizing risks of exposure and manipulation.
By leveraging encryption and decryption based on computation participants’ values, our model guarantees that only authorized requesters can access the data.
It also ensures resistance to collusion attacks, fairness, and the effectiveness of legal evidence.
|
IEEE/ICACT20250046 Slide.04
[Big Slide]