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Analyzing of watermarking from the perspective of chaos

Raja Jam, Sodeif Ahadpour Kalkhoran

Published Jan 1, 2015• 0 citations
OpenAlex

Abstract

Computational techniques derived from digital signal processing are playing a significant role in the security and digital copyrights of audio, video, and visual arts. In light of the quantum computer, the corresponding algorithms are becoming a new research direction in today’s high-technology world. The nature of quantum computer guarantees the security of quantum data, so a safe and effective quantum watermarking algorithm is in demand. Quantum watermarking is the technique that embeds the invisible quantum signal into quantum multimedia data for copyright protection. This research presents a quantum watermarking algorithm in discrete M-band wavelet domain which has been improved by chaotic maps. Different from most traditional algorithms, we propose a new algorithm which applies quantum watermarking in M-band wavelet domain assured by the Heisenberg uncertainty principle and quantum no-cloning theorem, the security of quantum watermark can reach a high-level standard. In a word, this watermarking algorithm, no matter using classical computer or quantum computer, can defeat nearly all attackers.

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•Feb 29, 2020•0 citations
Computational techniques derived from digital signal processing are playing a significant role in the security and digital copyrights of audio, video, and visual arts. In light of the quantum computer, the corresponding algorithms are becoming a new research direction in today’s high-technology world. The nature of quantum computer guarantees the security of quantum data, so a safe and effective quantum watermarking algorithm is in demand. Quantum watermarking is the technique that embeds the invisible quantum signal into quantum multimedia data for copyright protection. This research presents a quantum watermarking algorithm in discrete M-band wavelet domain which has been improved by chaotic maps. Different from most traditional algorithms, we propose a new algorithm which applies quantum watermarking in M-band wavelet domain assured by the Heisenberg uncertainty principle and quantum no-cloning theorem, the security of quantum watermark can reach a high-level standard. In a word, this watermarking algorithm, no matter using classical computer or quantum computer, can defeat nearly all attackers.
Computational methods derived from digital signal processing are playing a significant role in the security and copyrights of audio, video, and visual arts. In light of the quantum computing, the corresponding algorithms are becoming a new research direction in today's high-technology world. The nature of quantum computer guarantees the security of quantum data, so a safe and effective quantum watermarking algorithm is in demand. Quantum watermarking is the technique that embeds the invisible quantum signal into quantum multimedia data for copyright protection. Different from most traditional algorithms, we propose new algorithms which apply a quantum or a pseudo quantum watermarking in M-band wavelet domain. Assured by the Heisenberg uncertainty principle and quantum no-cloning theorem, the security of quantum watermark can reach a very high-level standard. In other words, these watermarking algorithms can defeat nearly all attackers, no matter using classical computer or quantum computer.
Abstract Quantum watermarking is a technique to embed specific information, usually the owner’s identification, into quantum cover data such for copyright protection purposes. In this paper, a new scheme for quantum watermarking based on quantum wavelet transforms is proposed which includes scrambling, embedding and extracting procedures. The invisibility and robustness performances of the proposed watermarking method is confirmed by simulation technique. The invisibility of the scheme is examined by the peak-signal-to-noise ratio (PSNR) and the histogram calculation. Furthermore the robustness of the scheme is analyzed by the Bit Error Rate (BER) and the Correlation Two-Dimensional (Corr 2-D) calculation. The simulation results indicate that the proposed watermarking scheme indicate not only acceptable visual quality but also a good resistance against different types of attack.
Abstract The crazy, unconscious use of the Internet, and the increase in cybercrime and hacking, which resulted in the loss of a large number of sensitive data, the risk of piracy, etc. were the motivation for protecting rights, securing and hiding essential information such as images, audio, etc. Watermarking was a popular security, copyright and privacy approach and one of the problems in modern quantum digital computing that produced more powerful quantum protection techniques than the classical one that used classical techniques such as digital wavelet transformation and Hungarian algorithms. Recent advances in quantum image representation and processing help to manipulate data hidden. This paper proposes a new watermark technique in which a color watermark image is hidden within another color-carrying image after transformation into the quantum domain using the recently completed quantum color image representation technique. Finally, a comparison is made between the proposed method and the most recent watermarking techniques is establish in terms of PSNR (peak signal-to-noise ratio), which shows the high precision of the proposed technique and improves the imperceptibility compared to the related schemes.
As one of essential multimedia in quantum networks, the copyright protection of quantum audio has gradually become an important issue in the domain of quantum information hiding in the decades. In this paper, an improved quantum watermarking algorithm based on quantum audio by using least significant qubit (LSQb) modification is proposed. Compared with the previous achievements, it can effectively improve the robustness and security of watermark for copyright protection of quantum audio. In the new algorithm, the least significant bites and the peripheral least significant bits of the amplitudes are modified in terms of their logical consistency and correlation to enhance watermark robustness of resisting various illegal attacks. Furthermore, the new algorithm can avoid the weak robustness defect of many previous algorithms that directly embedded the watermark into the least significant bits. In order to implement the new algorithm, some specific quantum circuits are designed to obtain better applicability and scalability for embedding and extracting watermark. Finally, the simulation results including the values of audio waveforms and signal to noise ratios (SNR) prove that the new algorithm has good transparency, robustness, and security.
Quantum Watermarking (QWM) is an emerging field that combines quantum information theory with digital watermarking techniques to enhance the security of digital content. By leveraging quantum properties such as superposition, entanglement, and the no-cloning theorem, QWM provides robust protection against unauthorised access, tampering, and duplication—offering a significant advantage over classical methods. As the volume and value of digital data grow, the need for advanced intellectual property protection becomes increasingly vital, making QWM a promising approach to next-generation data security. This paper presents a comprehensive review of the theoretical foundations of QWM, its core principles, and various classification methods based on quantum states, embedding techniques, and application domains such as authentication, copyright protection, and tamper detection. It also explores the mathematical models underlying QWM, including quantum state representations and error correction protocols, along with recent advances in experimental validations. Despite its potential, QWM faces challenges such as noise sensitivity, scalability limitations, and high computational resource requirements. Issues related to secure key management and implementation vulnerabilities also remain. Nevertheless, this review aims to serve as a foundational reference for researchers and practitioners, highlighting the promise of QWM in reshaping digital content security, particularly in sensitive domains like digital forensics and healthcare.
Quantum watermarking technology, which is used in anti-counterfeiting and copyright protection, play an important role in the future quantum computer era. To embed more data and reduce image distortion, a novel quantum watermarking method of combining spatial domain and frequency domain is proposed. To this end, the carrier and watermark image are prepared by the novel quantum model of color digital images.  The proposed quantum watermarking method is divided into two parts according to the needs of the owner and the importance of the watermarks. These two parts of watermark are embedded into the cover using the spatial and frequency domain. Analysis indicates that the complexity of the watermark separation process increases the difficulty for the attacker to reconstruct the quantum watermarking. Numerical simulation results using MATLAB software shows that this algorithm has better embedding capacity. Not only that, it also has good invisibility and can ensure the security.