A semi-symmetric image encryption scheme based on the function projective synchronization of two hyperchaotic systems

Abstract

Both symmetric and asymmetric color image encryption have advantages and disadvantages. In order to combine their advantages and try to overcome their disadvantages, chaos synchronization is used to avoid the key transmission for the proposed semi-symmetric image encryption scheme. Our scheme is a hybrid chaotic encryption algorithm, and it consists of a scrambling stage and a diffusion stage. The control law and the update rule of function projective synchronization between the 3-cell quantum cellular neural networks (QCNN) response system and the 6th-order cellular neural network (CNN) drive system are formulated. Since the function projective synchronization is used to synchronize the response system and drive system, Alice and Bob got the key by two different chaotic systems independently and avoid the key transmission by some extra security links, which prevents security key leakage during the transmission. Both numerical simulations and security analyses such as information entropy analysis, differential attack are conducted to verify the feasibility, security, and efficiency of the proposed scheme.

A novel image encryption algorithm based on fractional order 5D cellular neural network and Fisher-Yates scrambling

“…Among them, the Ref. [ 23 ] is an algorithm using skewed Tent map and 6th-order CNN, and the literature [ 24 ] is an algorithm that uses two hyperchaotic systems for encryption. The Ref.…”

“…The Ref. [ 24 , 26 ] is the current excellent experimental result. The subsequent comparison process goes into the information for the Lena image, and will not be described again.…”

A Novel Lossless Medical Image Encryption Scheme Based on Game Theory With Optimized ROI Parameters and Hidden ROI Position

“…The sensitivity of the control parameters and the initial value by the chaotic systems can be used to ensure that the keyspace of the encryption system is large enough and the sensitivity enough of the key. In this lossless image selection encryption and decryption model, the Quantum Cell Neural Network hyperchaotic system is used to generate a security key [28]. The state equation of QCNN system is:…”

Adaptive projective synchronization for a class of switched chaotic systems

“…As one of the most noticeable problems, PS has been extensively studied because of its proportionality between the synchronized dynamical states with a scaling factor and its role in fast communication. [22][23][24][25] In recent years, PS problem of the chaotic system has been widely investigated for different scaling factors, which vary from the original constant to the function scaling factor (t), then to the matrix scaling factor F. Accordingly, the concept of PS has been extended, for example, generalized PS, 26,27 modified PS, 28 function PS, [29][30][31][32][33][34][35] and generalized matrix PS. 36 Furthermore, the phenomenon of PS is not only occurred in the linearity part but also occurred in nonlinearity part, which means all states of the chaotic system can realize PS by a well-designed controller, see previous studies.…”

“…36 Furthermore, the phenomenon of PS is not only occurred in the linearity part but also occurred in nonlinearity part, which means all states of the chaotic system can realize PS by a well-designed controller, see previous studies. [27][28][29][30][31][32][33][34][35][36] We can note that most controllers above are added to all input channels to offset some nonlinearity terms to guarantee the equilibrium states of the error systems asymptotically stable.…”