Adaptive and Blind Audio Watermarking Algorithm Based on Chaotic Encryption in Hybrid Domain

Wu, Qiuling; Wu, Meng

doi:10.3390/sym10070284

Cited by 10 publications

(7 citation statements)

References 23 publications

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“…In [66], a blind and adaptive audio watermarking technique was suggested based on chaotic encryption in DCT and DWT hybrid domain. The encrypted mark can be hidden into the audio signal according to the special insertion rules.…”

Section: ) Watermarking Techniques Related To Copyright Protection Applicationmentioning

confidence: 99%

“…This observation proves the effectiveness of integrating the HPM masking study in the embedding algorithm. Besides, schemes in [64,66,67,68,77] are also robust to MP3 compression.…”

Section: ) Inaudibility and Robustness Comparison With Othersmentioning

confidence: 99%

“…Compressive Sensing [78] 41.54 Wavelet-coefficients quantization [82] 21 Wavelet-coefficients Mean-quantization [65] 37.97 Asymmetric turbo-Hadamard code [83] 29.63 Singular-value decomposition [84] 25.24 Chaotic Encryption in Hybrid Domain [66] 24.58 Spread spectrum [85] 28.59 DC-level shifting [86] 21.24 Echo-data hiding [87] 21.47 Phase-coding [87] 12.2 Frequency-masking [88] 12.87 Empirical Mode Decomposition [89] 25,415 Fast Walsh Hadamard Transform [90] 33.83 Wavelet based technique [91] 32.45 DWT-based rational dither modulation [67] 20.21 Moving Average and DCT [68] 30.93 Air Channel Characteristics [92] >20…”

Section: ) Inaudibility and Robustness Comparison With Othersmentioning

confidence: 99%

See 2 more Smart Citations

Audio Watermarking for Security and Non-Security Applications

et al. 2022

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The digitization of audiovisual data is significantly increasing. Thus, in order to guarantee principally the protection of intellectual properties of this digital content, watermarking has appeared as a solution. The watermarking can be used in reality in several types of applications that target two different contexts; the first for security applications and the second for non-security ones. In this paper, we carry a big interest in studying these two types of applications. Moreover, we propose a first digital watermarking scheme for security copyright protection application where we have involved Neural Network architecture in the insertion and detection processes and we have integrated some masking phenomena of the Human Psychoacoustic Model with Linear Predictive Coding spectral envelope estimation of the audio file. Experimentations proved the efficiency of exploiting perceptual masking with spectral envelope consideration in terms of imperceptibility and robustness results. Besides, we suggest a second audio watermarking technique for non-security content characterization application based on deep learning classification architecture. In this scheme, extracted watermark will advise about the audio class: music or speech, the speaker gender and emotion. Reported results indicated that the suggested scheme achieved higher performance at classification level as well as at watermarking properties.

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Section: ) Watermarking Techniques Related To Copyright Protection Applicationmentioning

confidence: 99%

“…This observation proves the effectiveness of integrating the HPM masking study in the embedding algorithm. Besides, schemes in [64,66,67,68,77] are also robust to MP3 compression.…”

Section: ) Inaudibility and Robustness Comparison With Othersmentioning

confidence: 99%

Section: ) Inaudibility and Robustness Comparison With Othersmentioning

confidence: 99%

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Audio Watermarking for Security and Non-Security Applications

et al. 2022

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“…In general, watermarking can be divided into robust and fragile watermarking methods in terms of their robustness. Robust watermarking [9] is used to protect security and resist attacks, while fragile watermarking [10,11] is used to provide integrity authentication. For the occasions with high data security requirements, such as judicial authentication, medical images, etc., more researchers focus on fragile watermarking in the encrypted domain.…”

Section: Introductionmentioning

confidence: 99%

Homomorphic Encryption-Based Robust Reversible Watermarking for 3D Model

Wang

Zhang

et al. 2020

Symmetry

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Robust reversible watermarking in an encrypted domain is a technique that preserves privacy and protects copyright for multimedia transmission in the cloud. In general, most models of buildings and medical organs are constructed by three-dimensional (3D) models. A 3D model shared through the internet can be easily modified by an unauthorized user, and in order to protect the security of 3D models, a robust reversible 3D models watermarking method based on homomorphic encryption is necessary. In the proposed method, a 3D model is divided into non-overlapping patches, and the vertex in each patch is encrypted by using the Paillier cryptosystem. On the cloud side, in order to utilize addition and multiplication homomorphism of the Paillier cryptosystem, three direction values of each patch are computed for constructing the corresponding histogram, which is shifted to embed watermark. For obtaining watermarking robustness, the robust interval is designed in the process of histogram shifting. The watermark can be extracted from the symmetrical direction histogram, and the original encrypted model can be restored by histogram shifting. Moreover, the process of watermark embedding and extraction are symmetric. Experimental results show that compared with the existing watermarking methods in encrypted 3D models, the quality of the decrypted model is improved. Moreover, the proposed method is robust to common attacks, such as translation, scaling, and Gaussian noise.

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“…With the rapid development of network communication and big data applications, information security has become a more and more popular topic. Scholars have proposed a variety of information security technologies, including information encryption [1][2][3][4][5], watermarking [6,7], privacy protection [8][9][10], and so on. Among them, cryptography is the most basic technology in information security.…”

Section: Introductionmentioning

confidence: 99%

A Novel S-Box Design Algorithm Based on a New Compound Chaotic System

Zhu

Wang

2019

Entropy

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Substitution-boxes (S-Boxes) are important non-linear components in block cryptosystem, which play an important role in the security of cryptosystems. Constructing S-Boxes with a strong cryptographic feature is an important step in designing block cipher systems. In this paper, a novel algorithm for constructing S-Boxes based on a new compound chaotic system is presented. Firstly, the new chaotic system, tent–logistic system, is proposed, which has better chaotic performance and wider chaotic range than the tent and logistic system, and can not only increase the randomness of the chaotic sequences but also expand the key space of cryptosystems. Secondly, a novel linear mapping is employed to construct the initial S-Box. Then, the permutation operation on the initial S-Box is performed by using chaotic sequence generated with the tent–logistic system, which improves the cryptographic features of the S-Box. The idea behind the proposed work is to make supplementary safe S-box. Detail tests for cryptographic strength of the proposed S-Box are performed by using different standard benchmarks. The test results and performance analysis show that our proposed S-Box has very smaller values of linear probability (LP) and differential probability (DP) and a satisfactory average value of nonlinearity compared with other S-Boxes, showing its excellent application potential in block cipher system.

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Adaptive and Blind Audio Watermarking Algorithm Based on Chaotic Encryption in Hybrid Domain

Cited by 10 publications

References 23 publications

Audio Watermarking for Security and Non-Security Applications

Audio Watermarking for Security and Non-Security Applications

Homomorphic Encryption-Based Robust Reversible Watermarking for 3D Model

A Novel S-Box Design Algorithm Based on a New Compound Chaotic System

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