Visible to the public Dynamic Chaotic Biometric Identity Isomorphic Elliptic Curve (DCBI-IEC) for Crypto Images

TitleDynamic Chaotic Biometric Identity Isomorphic Elliptic Curve (DCBI-IEC) for Crypto Images
Publication TypeConference Paper
Year of Publication2020
AuthorsIbrahim, A. K., Hagras, E. A. A. A., Alfhar, A., El-Kamchochi, H. A.
Conference Name2020 2nd International Conference on Computer Communication and the Internet (ICCCI)
Keywordsbiometric 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

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.

Citation Keyibrahim_dynamic_2020