The rapid development of DNA sequencing technology has generated enormous amounts of individual genome data. Consequently, biological databases have become a crucial part in the study of personalized healthcare. However, research on encryption and secret sharing mechanisms for database security is still scarce. To solve this problem, this study proposes a secret sharing mechanism based on the Human Biobank Management Act to access databases to prevent privacy infringements. The mechanism then undergoes system performance and security evaluations. Research results show that the secret sharing mechanism introduced herein has higher data confidentiality, overall system security, and number of secure keys than traditional system security mechanisms. Furthermore, compared to encryption methods used in earlier systems, the security of our mechanism is significantly improved while maintaining similar computing time required for encryption. This study introduces a secret sharing mechanism into existing biological database systems with practical operability in mind. The mechanism requires using and sharing of data to implement physical, personnel, and technical protection measures in personal data encryption and decryption to prevent privacy infringements. Our mission is to improve the quality and quantity of data in modern biodata databases. Therefore, this study complies with information security standards and best practices. The goal is to help further in-depth systematic research on biobank databases to achieve better results.