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

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...

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Bibliographic Details
Published in:	2020 2nd International Conference on Computer Communication and the Internet (ICCCI) pp. 119 - 125
Main Authors:	Ibrahim, Ahmed Kamal, Hagras, Esam A. A. A., Alfhar, Adel, El-Kamchochi, H. A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2020
Subjects:	biometric identity Chaotic communication chaotic maps Elliptic curve cryptography Elliptic curves Encryption Feature extraction IEC image encryption
Online Access:	Get full text
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Summary:	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