A Novel Robust Watermarking Algorithm for Encrypted Medical Image Based on DTCWT-DCT and Chaotic Map

Liu, Jing; Li, Jingbing; Cheng, Jieren; Ma, Jixin; Sadiq, Naveed; Han, Baoru; Qian, Geng; Ai, Yang

doi:10.32604/cmc.2019.06034

Cited by 31 publications

(28 citation statements)

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“…The dual-tree complex wavelet transform (DTCWT) is proposed to overcome the defects of the usual discrete wavelet transform [29]. When the corresponding wavelet basis (approximate) satisfies the Hilbert transformation relation, it can greatly reduce the translation sensitivity in the normal real wavelet transform and improve the direction selectivity [33], [34].…”

Section: B 3-d Dual-tree Complex Wavelet Transformmentioning

confidence: 99%

“…3) Classical watermarking. These methods embed the watermark information in the least significant bit (LSB) of the spatial domain [15], or into the medium-frequency or low-frequency coefficients of the frequency domain, DCT, DFT, or DWT [22], [25], [26], [33]. Thabit and Khoo [16] performed Slantlet transformation (SLT) on the non-overlapping blocks of the main image, and then modified the difference value of the average SLT coefficient in the high-frequency subband to embed data bits.…”

Section: Introductionmentioning

confidence: 99%

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Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things

Liu

et al. 2020

IEEE Access

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The advancement of 5G technology, big data and cloud storage has promoted the rapid development of the Internet of Medical Things (IoMT). Based on the strict security requirements and high level of accuracy required for disease diagnosis and pathological analysis, 3D medical volume data have been created in large numbers. The IoMT facilitates the rapid transfer of medical information and also makes the protection of pathological information and privacy information of patients increasingly prominent. To solve the security problem, a robust zero-watermarking algorithm based on 3D hyperchaos and 3D dualtree complex wavelet transform is proposed according to the selected feature of medical volume data. The feature combines human visual features with improved perceptual hashing techniques. It is a robust and efficient binary sequence. When implementing the proposed algorithm, the watermark is first scrambled with 3D hyperchaos to enhance security. Then, 3D DTCWT-DCT transformation is applied to medical volume data, and the low-frequency coefficients that can represent the features are selected and binarized to generate the secret key to complete the watermark embedding and extraction. Zero embedding and blind extraction ensure that the original medical volume data is not altered in any form, which meets the special requirements for diagnosis. Simulation results show that the algorithm is robust and can effectively resist common attacks and geometric attacks. It used fewer robust features to effectively bound medical volume data and watermark information, saved bandwidth, and satisfied the security of transmission and storage of medical volume data in the Internet of medical things. In particular, compared with state-of-the-art technology, the proposed algorithm improves the average NC value by 46.67% under geometric attacks. INDEX TERMS Hyperchaos, Internet of medical things, medical volume data, robust watermark, 3D-DTCWT-DCT.

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Section: B 3-d Dual-tree Complex Wavelet Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things

Liu

et al. 2020

IEEE Access

Self Cite

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“…How to construct a good PRNG and generate high-performance and high-quality PRNs has always been a hot topic for scholars. Chaos is widely used in complex networks [13][14][15][16], electronic circuits [17][18][19][20], image encryption [21][22][23][24][25], synchronous control [26][27][28], encryption system [29][30][31][32], and other fields because of its good random characteristics, extreme sensitivity to initial values and parameters, longterm unpredictability, and ergodicity of orbits. e PRNs based on the chaos system have the advantages of fast generation speed, high security performance, and good statistical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Chaos‐Based Engineering Applications with a 6D Memristive Multistable Hyperchaotic System and a 2D SF‐SIMM Hyperchaotic Map

Qian

Chen

et al. 2021

Complexity

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In recent years, the research of chaos theory has developed from simple cognition and analysis to practical engineering application. In particular, hyperchaotic systems with more complex and changeable chaotic characteristics are more sensitive and unpredictable, so they are widely used in more fields. In this paper, two important engineering applications based on hyperchaos pseudorandom number generator (PRNG) and image encryption are studied. Firstly, the coupling 6D memristive hyperchaotic system and a 2D SF-SIMM discrete hyperchaotic mapping are used as the double entropy source structure. The double entropy source structure can realize a new PRNG that meets the security requirements, which can pass the NIST statistical test when the XOR postprocessing method is used. Secondly, based on the double entropy source structure, a new image encryption algorithm is proposed. The algorithm uses the diffusion-scrambling-diffusion encryption scheme to realize the conversion from the original plaintext image to the ciphertext image. Finally, we analyze the security of the proposed PRNG and image encryption mechanism, respectively. The results show that the proposed PRNG has good statistical output characteristics and the proposed image encryption scheme has high security, so they can be effectively applied in the field of information security and encryption system.

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“…Recently, chaotic systems have attracted wide attention from researchers due to their own particularities and their vast application potential in the memristor [1][2][3][4], random number generator [5,6], secure communication [7][8][9], image encryption [10][11][12][13][14], and artificial neural network [15][16][17][18][19][20]. How to increase the complexity of a chaotic system and generate complex chaotic attractors to make it hard to encipher information in encryption system applications has become a field of interest for researchers both in and outside China.…”

Section: Introductionmentioning

confidence: 99%

Basin of Attraction Analysis of New Memristor‐Based Fractional‐Order Chaotic System

Ding

Cui

2021

Complexity

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Memristor is the fourth basic electronic element discovered in addition to resistor, capacitor, and inductor. It is a nonlinear gadget with memory features which can be used for realizing chaotic, memory, neural network, and other similar circuits and systems. In this paper, a novel memristor-based fractional-order chaotic system is presented, and this chaotic system is taken as an example to analyze its dynamic characteristics. First, we used Adomian algorithm to solve the proposed fractional-order chaotic system and yield a chaotic phase diagram. Then, we examined the Lyapunov exponent spectrum, bifurcation, SE complexity, and basin of attraction of this system. We used the resulting Lyapunov exponent to describe the state of the basin of attraction of this fractional-order chaotic system. As the local minimum point of Lyapunov exponential function is the stable point in phase space, when this stable point in phase space comes into the lowest region of the basin of attraction, the solution of the chaotic system is yielded. In the analysis, we yielded the solution of the system equation with the same method used to solve the local minimum of Lyapunov exponential function. Our system analysis also revealed the multistability of this system.

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A Novel Robust Watermarking Algorithm for Encrypted Medical Image Based on DTCWT-DCT and Chaotic Map

Cited by 31 publications

References 0 publications

Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things

Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things

Chaos‐Based Engineering Applications with a 6D Memristive Multistable Hyperchaotic System and a 2D SF‐SIMM Hyperchaotic Map

Basin of Attraction Analysis of New Memristor‐Based Fractional‐Order Chaotic System

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