Blockchain-Empowered Dynamic Trust Management: A Risk-Adaptive Access Control Framework for Medical Data

Song Luo¹Youhong Pan^1*Tan Hu²

• ¹Chongqing University of Technology, Chongqing, China
• ²Xidian University, Xi'an, China

With the rapid growth of healthcare data, how to effectively and securely control data access has become an important problem to be solved. Existing healthcare data access control schemes mostly rely on traditional role-or attribute-based access control methods, which ensure data security to some extent, but still face a series of challenges. Traditional access control relies on centralized management, with single point of failure and security risk, and lacks dynamic risk assessment and in-depth trust analysis, making it difficult to meet the precise control needs of medical data sharing. Although the existing trust level model introduces a trust assessment mechanism, it ignores the dynamic volatility of trust, such as the static role trust model that does not incorporate real-time behavioral changes, which is prone to security vulnerabilities due to identity abuse or external attacks. In order to solve the above problems, this article proposes a blockchain-based access control scheme for medical data, which combines information entropy, risk calculation, and a trust assessment mechanism to ensure the reliability of the trust degree. By calculating the access information entropy, dynamically assessing the risk, and calculating the trust level based on the risk, it ensures that each data access is fully verified. The introduction of blockchain technology improves the decentralization, transparency, and inerrancy of the data system, improving the security and reliability of medical data access control. Compared to existing solutions, this solution can assess and control risks more accurately and is more adaptable, responding effectively to complex medical data sharing needs and potential security threats, and significantly improving access throughput and latency of medical data.