Asymmetric Cryptosystem for Phase Images in Fractional Fourier Domain Using LU-Decomposition and Arnold Transform
Jaideep Kumar, Phool Singh, Ashwani Kumar Yadav, Anoop Kumar · Procedia Computer Science · 2018
An asymmetric cryptosystem for phase images is proposed which uses amplitude and phase truncation operators in fractional Fourier domain. LU decomposition and Arnold transform are applied to further strengthen the cryptosystem. Analysis of 3D plots, histograms, and correlation distribution reveals that scheme resist the statistical attacks. Basic attacks like chosen plaintext, known plaintext, ciphertext only etc., are endured by virtue of asymmetric nature of cryptosystem. Well-known noise attack is also performed on the scheme. Results indicate that scheme can tolerate the significant noise and reveal information about the input images. Results also show the scheme sensitivity towards the encrypted parameters like orders of fractional Fourier transform and Arnold transform parameter.