Biomedical image encryption based on double-humped and fractional logistic maps

Samar M. Ismail, Lobna A. Said, Ahmed A. Rezk, Ahmed G. Radwan, Ahmed H. Madian, Mohamed F. Abu‐Elyazeed, Ahmed M. Soliman

2017 · 23 citations · 12 references

Concepts

Abstract

This paper presents a secured highly sensitive image encryption system suitable for biomedical applications. The pseudo random number generator of the presented system is based on two discrete logistic maps. The employed maps are: the double humped logistic map as well as the fractional order logistic map. The mixing of the map parameters and the initial conditions x <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> , offers a great variety for constructing more efficient encryption keys. Different analyses are introduced to measure the performance of the proposed encryption system such as: histogram analysis, correlation coefficients, MAE, NPCR as well as UACI measurements. The encryption system is proven to be highly sensitive to ±0.001% perturbation of the logistic maps parameters. The system is tested on medical images of knee MRI and a lung X-rays.

References

12