Asymmetric Image Cryptosystem based on Chaotic Henon Map Fingerprint Masks in Various Domains

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Authors: R. Girija, Hukum Singh, G. Abirami
Cited by: 1
References: 36

Abstract

Traditional random phase masks (RPMs) are dynamic in double random phase encoding (DRPE). Asymmetric cryptosystems have been proposed because symmetric cryptosystems are vulnerable to several attacks. In this cryptosystem, chaotic Henon map fingerprint masks (CHMFM) are built instead of conventional phase masks. There are several transform domains where the encryption and decryption processes are carried out. The chaotic Henon map, fingerprints, and an asymmetric cryptosystem are the foundations of the suggested system’s security. The fingerprint is shared by the source and the destination. Therefore, in the suggested method, the broadcasting and the organization share the secret keys, which is suitable. Furthermore, fingerprint keys have a strong correlation with both the origin and the destination. To verify the resilience of the suggested asymmetric cryptosystem, numerous numerical simulations and studies have been carried out, including noise analysis, correlation coefficient analysis, occlusion study, sensitivity analysis, etc.

Fields of Study & Subjects

Chaos-based Image/Signal Encryption Advanced Steganography and Watermarking Techniques Biometric Identification and Security

Publication details

Journal / source
Procedia Computer Science
Publisher
Elsevier BV
Volume
283
Pages
2536–2545
Publication date
1 January 2026
Language
EN