An enhanced fingerprint template protection scheme based on four-dimensional superchaotic system and dynamic DNA coding

With the rapid development of Internet of things technology, the efficiency of data transmission between devices has been significantly improved. However, the open network environment also poses serious security risks. This paper proposes an innovative fingerprint template protection scheme, which generates key streams through an improved four-dimensional superchaotic system (4CSCS), uses the space-filling property of Hilbert curves to achieve pixel scrambling, and introduces dynamic DNA encoding to improve encryption. Experimental results show that this scheme has a large key space 2⁵²⁸, encrypts image information entropy of more than 7.9970, and shows excellent performance in defending against statistical attacks and differential attacks. Compared with existing methods, this scheme has significant advantages in terms of encryption performance and security, and provides a reliable protection mechanism for fingerprint authentication systems in the Internet of things environment.