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

doi:10.1088/1674-1056/adca9f

Abstract 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 $2^{528}$, 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.

Keywords: four-dimensional superchaotic system fingerprint template protection Zernike moments image encryption

Received: 06 February 2025
Revised: 03 April 2025
Accepted manuscript online: 09 April 2025

PACS:	05.45.-a	(Nonlinear dynamics and chaos)
	05.45.Gg	(Control of chaos, applications of chaos)

Corresponding Authors: Baiqiang Hu
E-mail: baiqianghu@gmail.com

Cite this article:

Baiqiang Hu(胡百强), Jiahui Liu(刘嘉辉), and Zhe Liu(刘喆) An enhanced fingerprint template protection scheme based on four-dimensional superchaotic system and dynamic DNA coding 2025 Chin. Phys. B 34 070505

[1] Sun W, Cai Z, Li Y, Liu F, Fang S and Wang G 2018 Security and Communication Networks 2018 5978636
[2] Byeon H, Seno M E, Nimma D, Ramesh J V N, Zaidi A, AlGhamdi A, Keshta I, Soni M and Shabaz M 2025 Image and Vision Computing 154 105420
[3] Gong L H and Luo H X 2023 Optics & Laser Technology 167 109665
[4] Zou J Z, Chen M X and Gong L H 2025 Neurocomputing 614 128834
[5] Zavvos E, Gerding E H, Yazdanpanah V, Maple C, Stein S, et al. 2021 IEEE Transactions on Intelligent Transportation Systems 23 10126
[6] Marasco E, Albanese M, Patibandla V V R, Vurity A and Sriram S S 2023 Security and Privacy 6 e261
[7] Ren H, Sun L, Guo J and Han C 2022 IEEE Transactions on Information Forensics and Security 17 2030
[8] Bedari A, Wang S and Yang W 2022 Sensors 22 7609
[9] Trivedi A K, Thounaojam D M and Pal S 2020 Computers & Security 90 101690
[10] Yang W, Wang S, Hu J, Zheng G and Valli C 2019 Symmetry 11 141
[11] Natgunanathan I, Mehmood A, Xiang Y, Beliakov G and Yearwood J 2016 IEEE Access 4 880
[12] Hellekalek P and Wegenkittl S 2003 ACM Transactions on Modeling and Computer Simulation (TOMACS) 13 322
[13] Yan X, Hu Q and Teng L 2025 Nonlinear Dyn. 113 1799
[14] Tao Y, Cui W, Wang S and Wang Y 2025 PloS One 20 e0310279
[15] Wang Y, Zhao Q, Zhang H, Li T, Xu W, Liu S and Su Y 2023 Applied Optics 62 1009
[16] Ye G and Guo L 2024 Nonlinear Dyn. 112 14593
[17] Hu L L, Chen M X,Wang M M and Zhou N R 2024 Chaos, Solitons & Fractals 188 115521
[18] Subramanian R, Ç içek S, Akgul A, Adam G, Karthikeyan A and Rajagopal K 2024 Complexity 2024 2005801
[19] Hagras E A, Aldosary S, Khaled H and Hassan T M 2023 Sensors 23 7843
[20] Ding C, Xue R and Niu S 2023 International Journal of Bifurcation and Chaos 33 2350084
[21] Zhou N R, Hu L L, Huang Z W, Wang M M and Luo G S 2024 Expert Systems with Applications 238 122052
[22] Guo Z, Chen S H, Zhou L and Gong L H 2024 Applied Mathematical Modelling 131 49
[23] Vijayakumar M and Ahilan A 2024 Ain Shams Engineering Journal 15 102620
[24] Wang M, Fu X, Yan X and Teng L 2024 Mathematics 12 638
[25] Zhu Y, Wang C, Sun J and Yu F 2023 Mathematics 11 767
[26] Jiang D, Tsafack N, Boulila W, Ahmad J and Barba-Franco J 2024 Expert Systems with Applications 236 121378
[27] Kumar S and Sharma D 2024 Artificial Intelligence Review 57 87
[28] Alawida M 2023 Journal of King Saud University-Computer and Information Sciences 35 101595

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

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