Dynamic Chaotic Biometric Identity Isomorphic Elliptic Curve (DCBI-IEC) for Crypto Images

Title	Dynamic Chaotic Biometric Identity Isomorphic Elliptic Curve (DCBI-IEC) for Crypto Images
Publication Type	Conference Paper
Year of Publication	2020
Authors	Ibrahim, A. K., Hagras, E. A. A. A., Alfhar, A., El-Kamchochi, H. A.
Conference Name	2020 2nd International Conference on Computer Communication and the Internet (ICCCI)
Keywords	biometric digital identity, biometric encryption, biometric identity, biometrics (access control), chaos, chaotic communication, chaotic cryptography, chaotic logistic map, Chaotic maps, DCBI-IEC system, decryption processing, differential analysis, Dynamic Chaotic Biometric Identity Isomorphic Elliptic Curve, Elliptic curve cryptography, Elliptic curves, Encryption, feature extraction, fingerprint identification, fingerprint minutia data, high security level, IEC, image encryption, image encryption application, key sensitivity test, Metrics, pubcrawl, public key cryptography, resilience, Resiliency, Scalability, statistical analysis, user fingerprint image
Abstract	In this paper, a novel Dynamic Chaotic Biometric Identity Isomorphic Elliptic Curve (DCBI-IEC) has been introduced for Image Encryption. The biometric digital identity is extracted from the user fingerprint image as fingerprint minutia data incorporated with the chaotic logistic map and hence, a new DCBDI-IEC has been suggested. DCBI-IEC is used to control the key schedule for all encryption and decryption processing. Statistical analysis, differential analysis and key sensitivity test are performed to estimate the security strengths of the proposed DCBI-IEC system. The experimental results show that the proposed algorithm is robust against common signal processing attacks and provides a high security level for image encryption application.
DOI	10.1109/ICCCI49374.2020.9145981
Citation Key	ibrahim_dynamic_2020