An Image Segmentation Encryption Algorithm Based on Hybrid Chaotic System

Man, Zhenlong; Li, Jinqing; Di, Xiaoqiang; Bai, Ou

doi:10.1109/access.2019.2931732

Cited by 29 publications

(11 citation statements)

References 49 publications

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“…In information entropy theory, the complexity of the encrypted data is determined by calculating the information entropy for an image as follows [50]: (55) where p(m i ) represents the probability of variable m i and the entropy is calculated in bits. The information entropy value for a truly random source is equal to 8 [48]. The closer the information entropy is to the quantity of 8, the better the quality of the encryption.…”

Section: E Ie Npcr and Uaci Metricsmentioning

confidence: 99%

Fast Reaching Finite Time synchronization Approach for Chaotic Systems With Application in Medical Image Encryption

et al. 2021

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This article proposes a fast reaching finite time synchronization approach for chaotic systems along with its application to medical image encryption. First, an adaptive terminal sliding mode tracking approach with fast reaching condition is designed to synchronize the chaotic systems at the transmitter and receiver ends in finite time. Then, a chaotic cryptosystem, using synchronized chaotic systems as secret keys generator, is proposed to enhance the security of medical image transmission and/or storage. The applicability and efficiency of the proposed synchronization approach is assessed using a simulation as well as an analytical study. The analysis encompassed security tools such as histogram analysis, correlation test, and information entropy change the rate of the number of pixels and unified average changing intensity. The obtained results confirmed the robustness and fast convergence rate of the proposed synchronization approach. The security analysis also shows that the proposed cryptosystem displays acceptable levels of resistance to various attacks. INDEX TERMSChaos synchronization; fast reaching condition; medical image encryption; MORE method encryption.

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Section: E Ie Npcr and Uaci Metricsmentioning

confidence: 99%

Fast Reaching Finite Time synchronization Approach for Chaotic Systems With Application in Medical Image Encryption

et al. 2021

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“…At present, lots of encryption methods tend to utilize floating point chaotic systems [29]- [31]. In order to increase the security of encryption, an algorithm combining the compound chaotic system and the RSA key is expressed in the paper [32].…”

Section: B Spectral Entropy (Sen) Algorithmmentioning

confidence: 99%

A Hybrid Chaotic Encryption Scheme for Wireless Body Area Networks

Fan

Zhang

et al. 2020

IEEE Access

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Wireless body area network is a low-power and high-security wireless communication protocol specially used in the medical environment. It requires a highly secure encryption algorithm to ensure that information related to a patient's vital signs cannot be accessed by an attacker. In this paper, a security scheme based on chaotic mapping for WBAN is proposed. This algorithm makes use of the hybrid chaotic system obtained by the combination of Logistic and Tent mapping as the sequence generator, which can select the effective precision according to the importance of the transmitted information to ensure the reasonable allocation of computing resources, including floating-point encryption, fixed-point 32-bit encryption, fixed-point 24-bit encryption, and fixed-point 16-bit encryption. In the randomness test of the sequence, it can be seen that the sequence autocorrelation coefficient generated by the combined chaotic system is close to 0 and has a flat power spectrum. At the same time, the sequences produced by the floatingpoint system and 32-bit fixed-point system have passed the NIST test, which proves that combined chaos overcomes the influence of sequence length and finite precision. Experimental analysis and performance comparison show that the proposed encryption algorithm has sufficient security to resist common attacks.

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“…The Chaos theory is applied not only in steganography but also in many encryption schemes due to its sensitivity to initial conditions [10], [11]. It is well known that in a chaotic system even a small change in initial conditions will result in totally different unpredictable outputs.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is the measure used to describe how much massage is embedded in the cover image generally interpreted in terms of Bit per Pixel bpp and calculated as given. This metric can be calculated as in (11) Capacity(bpp) = # of embedded secret bits Total pixel in cover image (11) 2) PEAK SIGNAL NOISE RATIO (PSNR)…”

Section: A Performance Evaluation Tecniques 1) Payload Capacity (Bpp)mentioning

confidence: 99%

A New Chaotic Image Steganography Technique Based on Huffman Compression of Turkish Texts and Fractal Encryption With Post-Quantum Security

Kasapbaşi

2019

IEEE Access

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As the digital age is becoming an unavoidable part of our daily life people are becoming more concern about their privacy and security of their digital communications. Steganography and cryptography are the two most frequently used merits of digital life to fulfill these needs. In this study, a new spatial domain chaotic steganography scheme is presented utilizing also new fractal stream encryption algorithm to hide Huffman encoded and compressed Turkish texts. The study composes of four main phases. Firstly, a sample of Turkish newspaper columnist corpus is gathered to obtain not only the frequencies of letters including special Turkish characters but also punctuations, spaces, newlines, quotations, etc. As a result of the first phase, a static Huffman encoding dictionary is obtained for 102 encountered characters. Secondly, super Mandelbrot sets are used with the Logistic map to obtain one-time-pad stream keys to encrypt compressed texts. Thirdly, the LSB (Least Significant Bit) plain of the cover image is analyzed morphologically to find low entropy pixel locations so that in steganography phase spotted locations can be avoided and scheme can become more resistant against stego analysis. Lastly, the chaotic steganography phase is the final phase in which data hiding pixel is selected according to logistic map chaotic function then LSB of the selected pixel is updated. Many tests are carried out on many images to show the image quality namely PSNR, SNR, SSMI, UIQI, Entropy, MSE, and histogram. Results indicate that proposed schemes are successful for encryption and offer robust steganography. INDEX TERMS Chaotic steganography, fractal encryption, static Huffman.

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An Image Segmentation Encryption Algorithm Based on Hybrid Chaotic System

Cited by 29 publications

References 49 publications

Fast Reaching Finite Time synchronization Approach for Chaotic Systems With Application in Medical Image Encryption

Fast Reaching Finite Time synchronization Approach for Chaotic Systems With Application in Medical Image Encryption

A Hybrid Chaotic Encryption Scheme for Wireless Body Area Networks

A New Chaotic Image Steganography Technique Based on Huffman Compression of Turkish Texts and Fractal Encryption With Post-Quantum Security

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