A secure image encryption scheme based on genetic operations and a new hybrid pseudo random number generator

This paper presents an encryption scheme based on genetic operations and a new hybrid pseudo random number generator (HPRNG). The new HPRNG is designed based on linear feedback shift register (LFSR), chaotic asymmetric tent map and chaotic logistic map. The scheme uses XOR and genetic operations (mutation, and multipoint crossover) to encrypt the image blocks. The first block of the plain image is encrypted with the help of a pseudo-random bit sequence generated by the HPRNG. The subsequent blocks are based on the previous cipher block and the XOR operator. The scheme can be extended to encrypt color images and text as well. The cipher images produced have very low correlation with their corresponding plain images and have high values of entropy, making it unpredictable and difficult to detect redundancies in the image pixel values. More over the scheme is compared with some existing schemes and found that the proposed scheme is comparatively secure and efficient.

[1]  Yueping Li,et al.  A hyper-chaos-based image encryption algorithm using pixel-level permutation and bit-level permutation , 2017 .

[2]  Vallipuram Muthukkumarasamy,et al.  An Encryption Scheme Using Chaotic Map and Genetic Operations for Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[3]  ShuTang Liu,et al.  Spatial chaos-based image encryption design , 2009 .

[4]  Elaine B. Barker,et al.  A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications , 2000 .

[5]  Edward J. McCluskey,et al.  Linear Feedback Shift Register Design Using Cyclic Codes , 1988, IEEE Trans. Computers.

[6]  Hadi Seyedarabi,et al.  A new secure and sensitive image encryption scheme based on new substitution with chaotic function , 2014, Multimedia Tools and Applications.

[7]  Kwok-Wo Wong,et al.  Breaking a novel colour image encryption algorithm based on chaos , 2012, Nonlinear Dynamics.

[8]  Safya Belghith,et al.  A novel image encryption scheme based on substitution-permutation network and chaos , 2016, Signal Process..

[9]  Bhaskar Mondal,et al.  A light weight secure image encryption scheme based on chaos & DNA computing , 2017, J. King Saud Univ. Comput. Inf. Sci..

[10]  Xing-yuan Wang,et al.  A novel image encryption algorithm based on dynamic S-boxes constructed by chaos , 2013, Nonlinear Dynamics.

[11]  X. Tong,et al.  A new algorithm of the combination of image compression and encryption technology based on cross chaotic map , 2013 .

[12]  Bhaskar Mondal,et al.  A chaotic permutation and diffusion based image encryption algorithm for secure communications , 2018, Multimedia Tools and Applications.

[13]  Xin-Wen Wu,et al.  On the Security of Permutation-Only Image Encryption Schemes , 2016, IEEE Transactions on Information Forensics and Security.

[14]  Elaine B. Barker,et al.  Report on the Development of the Advanced Encryption Standard (AES) , 2001, Journal of research of the National Institute of Standards and Technology.

[15]  Xiao Liu,et al.  A novel chaos-based bit-level permutation scheme for digital image encryption , 2011 .

[16]  Elaine B. Barker,et al.  A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications , 2000 .

[17]  Bhaskar Mondal,et al.  A Comparative study on Cryptographic Image Scrambling , 2017, RICE.

[18]  Geoff Boeing,et al.  Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction , 2016, Syst..

[19]  Li-Hua Gong,et al.  Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing , 2014 .