Personal data sharing model with legal validity in blockchain-based secure environment
Su Jin Shin, Sang Uk Shin · 2025
This paper proposes a data sharing model that ensures the legal validity of data provided by individuals as legal evidence within a blockchain environment. The proposed model applies Distributed Pseudo-Random Functions (DPRFs) to prevent all participants, except the data requester, from obtaining the original data. Based on these characteristics, the model guarantees integrity, confidentiality, and non-repudiation, thereby ensuring that data provided by individuals can possess legal validity as evidence.