A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

Digital watermarking is important for the copyright protection of electronic data, but embedding watermarks into vector maps could easily lead to changes in map precision. Zero-watermarking, a method that does not embed watermarks into maps, could avoid altering vector maps but often lack of robustness. This study proposes a dual zero-watermarking scheme that improves watermark robustness for two-dimensional (2D) vector maps. The proposed scheme first extracts the feature vertices and non-feature vertices of the vector map with the Douglas-Peucker algorithm and subsequently constructs the Delaunay Triangulation Mesh (DTM) to form a topological feature sequence of feature vertices as well as the Singular Value Decomposition (SVD) matrix to form intrinsic feature sequence of non-feature vertices. Next, zero-watermarks are obtained by executing exclusive disjunction (XOR) with the encrypted watermark image under the Arnold scramble algorithm. The experimental results show that the scheme that synthesizes both the feature and non-feature information improves the watermark capacity. Making use of complementary information between feature and non-feature vertices considerably improves the overall robustness of the watermarking scheme. The proposed dual zero-watermarking scheme combines the advantages of individual watermarking schemes and is robust against such attacks as geometric attacks, vertex attacks and object attacks.

As an effective approach to image copyright protection, optical image watermarking has emerged as a prominent research focus in the field of image information security. However, current optical image watermarking schemes typically embed watermark information into the host image, which is not suitable for applications that require high integrity of the host image. Moreover, existing optical image watermarking schemes based on human biometrics require that the biometric features used in the encoding and decoding processes of the watermark image must be identical; otherwise, the original watermark’s valid information cannot be decoded. To address these issues, this paper proposes an optical robust zero-watermarking scheme based on chaotic facial phase masks and three-step phase-shifting digital holography. In the proposed scheme, we first construct a chaotic facial phase masks using the human face and chaotic systems. Next, we use the chaotic facial phase mask and three-step phase-shifting digital holography to encode the original watermark into three noise-like holograms. Finally, we combine the encoded watermark information with the Canny edge features of the host image to construct a zero-watermark. Since the proposed scheme does not require modification of the host image, it is suitable for application fields that demand high integrity of the host image. Furthermore, in the proposed scheme, even if there are slight deviations in the same user’s face during the encoding and decoding processes, the original watermark image’s valid information can still be decoded. Extensive experiments and analyses demonstrate that the proposed scheme not only has high security but also exhibits strong robustness against common image processing attacks and geometric attacks.

A blind color digital image watermarking method based on image correction and eigenvalue decomposition

According to the picture archiving and communication system that have not introducing of the security mechanism yet, putting forward a security mechanism plan that based on digital watermarking and digital signature technology. Digital watermarking technology could authenticate the copyright of medical image effectively, and digital signature technology could authenticate the identity of sender and receiver. The PACS that introduced digital watermarking and digital signature technology could protect the interests for both hospitals and patients effectively in arbitration time, and became an important relying on for the development of remote medical.

본 논문에서는 원본 이미지에 저작권자의 저작권 정보를 삽입함으로써 저작권을 보호하고 차후 불법적인 도용을 방지하기 위해, 숫자와 로고로 구성된 워터마크 생성, 삽입 및 검출, 검증 시스템을 설계 및 구현한다. 본 시스템은 콘텐츠의 특성과 저작권자의 요구에 따라 워터마크를 숫자 또는 로고로 선택해서 구성할 수 있으며, 저작권 보호에 대한 전문지식이 없는 일반관리자도 용이하게 이용할 수 있는 사용자 인터페이스를 갖추도록 설계하였다. 이러한 디지털 이미지 워터마킹의 적용을 통한 소유권 및 저작권 보호는 궁극적으로 문화콘텐츠 등의 콘텐츠 제작 의뢰자로 하여금 제작 의지를 강화하여 제작 의뢰 건수를 증가시킬 수 있을 것으로 기대된다. 【In this paper, we design and implement watermarking system which create, insert and detect watermark comprised of number or logo to protect copyright and to prevent illegal plagiarism through inserting copyrighting information of owner into the original image. In the proposed system, the number or logo as watermark is selectively inserted according to characteristics of the original contents or requirement of copyrighter. The system also has convenient user interface which general administrator who hasn't expert knowledge for the protection of copyright uses easily. Ownership and copyright protection using digital watermarking technology intensifies creating volition of clients who want to create contents such as cultural contents, Thus, we can expect increasing requests for creating contents such as cultural contents.】

In recent years, with the rapid development of internet, digital data has been widely used in various science and engineering applications. But, this development has also led to several threats and attacks from the intruders. Most of the organizations are very much concerned about the Illegal copyright activities which have become a series issue. A number of copyright protection schemes have been developed in the literature. Watermarking is one of the best known methods for copyright protection. Earlier Bit Error Rate (BER) is been observed to provide good results for choosing the optimal feature region from the watermarked image. However it fails to produce more accurate image quality measures. This research work mainly focuses on a novel technique implemented based on the simulated attacking approach and the GA-based Multi Dimensional Knapsack Problem (MDKP) solving technique to select the most sufficient feature regions for robust digital image watermarking without affecting the image quality. A major limitation in existing methods is the security problems which lead to decrease in the integrity of digital watermarking scheme. With that problem, the definite optimization problems (variant problems) cannot be resolved using genetic algorithms. To focus on the above mentioned problems, the proposed work uses two approaches. Chaotic Iterative Process encryption scheme is used to solve the security problems for watermarking image. Next, the optimal feature points can be chosen from the watermarked image by Modified version of Peak Signal Noise Ratio (MPSNR). MPSNR is based on the enhanced quality measurement of which point opposes the predefined and undefined attacks. With those two approaches the PSO algorithm is employed as a search strategy for identifying an optimal feature subset. The experimental results illustrates that comparing with various well-known feature-based techniques, the proposed method shows better performance in robust and more secure digital watermarking.

As an important means of information security and copyright protection, digital watermarking technology has been extensive researched and widely applied; it proves data’s ownership or integrity by embedding secret information into raw data, thus achieves the purpose of copyright protection and information security. Based on the analysis and research of wavelet transformation, this study achieves to embed digital watermarking into the oracle bone inscriptions rubbings. Experimental results show that this method has a stronger robustness to altering and cutting of images.

The traditional binary image is no longer sufficient to bring richer information in modern production and life. Color images have more information data than binary images. Based on the development of color image models and digital watermarking technology, this paper uses the Arnold scrambling and DWT-DCT method improves the robustness and invisibility of double color digital image watermarking. The encryption method improves the security of the watermark itself to a certain extent.

Due to the continuous development and popularity of digital video technology, the copyright protection of digital video content has become an increasingly prominent issue. Digital video watermarking, as an effective means of digital copyright protection, has attracted widespread attention from academia and industry. The two-dimensional discrete Fourier transform (2D-DFT) template-based method has the advantages of good real-time performance and robustness, but the embedding capacity is small and cannot resist frame-dropping attack. To address this problem, a new template construction method is proposed in this paper, which can extend the embedding capacity from 1 bit each group of pictures (GOP) to theoretically n bits each GOP. In addition, by changing the GOP pattern, the method gains the ability to resist frame-dropping attacks. Experimental results show that the proposed method can achieve larger watermark capacity while maintaining strong robustness against image-processing attacks, geometric attacks, video-processing attacks and compression attacks.

A 3D model watermarking against affine transformation is proposed in this paper. Firstly, the original watermark is embedded in an image, then we compare the watermarked image with the original watermark image and embed the watermark information into three-dimensional mesh model with distance between vertices and the center of a model. The algorithm has strong robustness against attacks, such as scaling, rotation, transformation.

The security of multimedia's transmission on Internet is very important. In this paper we have discussed digital watermarking technology and the protocol of fair exchange. Then, the scheme of network manufacture products electronic trading based on fair exchange protocol and digital watermarking technology is presented in this paper. Experiments show that the scheme has the properties of fair exchanging and copyright protection, and it is a good scheme to solve security and fairness problems.

With the rapid development of Generative Artificial Intelligence (AIGC) technology, the creation and dissemination of digital content have entered a new era. However, issues such as copyright protection, security, and traceability of these generated contents are gradually becoming prominent, and effective technological measures are still needed to address them. Digital watermarking technology, as an effective means to solve these problems, has a wide range of application prospects. This study proposes a new digital watermarking algorithm specifically targeting the characteristics of AIGC generated content, aiming to address the shortcomings of existing technologies in terms of concealment, robustness, and security. By comparing and analyzing existing technologies, improvement plans were proposed and optimized and experimentally verified. The experimental results show that the proposed algorithm can effectively improve the copyright protection capability of content while ensuring the concealment of watermarks, and has good application prospects.

Combined with the biometric identification technology and digital watermarking technology, a digital watermarking algorithm based on iris features is proposed. A secret key is used to generate the pseudorandom sequence which would have the cryptography in the sense of security. Through the two-scale wavelet transform and the combination of singular value decomposition, the robustness of the watermark can be improved. The experimental result shows that the watermarking algorithm is fit for iris feature and has strong robustness in noise resistance, geometric transform, compression and other aspects.

When medical images transmitted and stored in hospitals, it require strict security, confidentiality and integrity. However, the transmission of wireless and wired networks has made the medical information vulnerable to attacks like tampering, hacking etc. And the ROI of medical image is unable to tolerate significant changes. In order to dealing these problems, we have proposed an algorithm that introducing the digital watermarking technology to increase the security of medical images. The scheme uses a part of sign sequence of DCT coefficients as the feature vector of images. It can avoid the sophisticated process of finding the Region of Interest (ROI) of medical images. At the same time, the watermarking image is encrypted by Logistic Map to enhance its confidentiality. The experimental results show that the scheme has strong robustness against common attacks and geometric attacks. Moreover, compared with the existing medical watermarking techniques, it can embed much more data, less complexity and make embed multi watermarks realized.

Digital multimedia content protection has increasingly become an important issue. Because image watermarking is identified as a major technology used in copyright protection, a key requirement for image watermarking is the development of its imperceptibility and robustness. To meet this requirement, a novel robust image watermarking scheme based on discrete wavelet transform (DWT), singular value decomposition (SVD), and chaotic mixtures is proposed in this paper, In this method, the singular values of the encrypt watermark are embedded on the singular values of the important inscribed circle domain of normalized cover image's DWT sub-bands. Experimental results illustrate that this approach is robust to a wide range of attacks, especially geometrical attacks.