Generalized double-humped logistic map-based medical image encryption

• Main Authors: Samar M. Ismail, Lobna A. Said, Ahmed G. Radwan, Ahmed H. Madian, Mohamed F. Abu-Elyazeed
• Format: Article
• Language: English
• Published: Elsevier 2018-03-01
• Series: Journal of Advanced Research
• Subjects: Double-humped; Negative bifurcation; MLE; Image encryption; UACI; NPCR
• Online Access: http://www.sciencedirect.com/science/article/pii/S2090123218300195

This paper presents the design of the generalized Double Humped (DH) logistic map, used for pseudo-random number key generation (PRNG). The generalized parameter added to the map provides more control on the map chaotic range. A new special map with a zooming effect of the bifurcation diagram is obtained by manipulating the generalization parameter value. The dynamic behavior of the generalized map is analyzed, including the study of the fixed points and stability ranges, Lyapunov exponent, and the complete bifurcation diagram. The option of designing any specific map is made possible through changing the general parameter increasing the randomness and controllability of the map. An image encryption algorithm is introduced based on pseudo-random sequence generation using the proposed generalized DH map offering secure communication transfer of medical MRI and X-ray images. Security analyses are carried out to consolidate system efficiency including: key sensitivity and key-space analyses, histogram analysis, correlation coefficients, MAE, NPCR and UACI calculations. System robustness against noise attacks has been proved along with the NIST test ensuring the system efficiency. A comparison between the proposed system with respect to previous works is presented.