Research on Digital Watermarking Technology Based on Artificial Intelligence Generated Content Model

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.

The article is devoted to the study of the application of artificial intelligence technologies in law enforcement activities in Ukraine and the world. The purpose of the article is to analyze the international and domestic experience of using digital technologies in law enforcement activities, to identify the shortcomings of the legal regulation of the use of artificial intelligence in this area, to provide proposals for its improvement in Ukraine. It was found that one of the countries that is actively expanding the use of artificial intelligence and successfully introducing relevant technologies into public administration is China. The artificial intelligence system which is used in China called «Zero Trust». The purpose of using this system is to prevent the commission of corruption offenses. It is emphasized, that the disadvantage of the «Zero Trust» system is that artificial intelligence, identifying the cause of corruption, does not indicate the algorithms and principles of this process. At the same time, the experience of using artificial intelligence in the field of preventing and combating corruption in Ukraine is considered when carrying out automated verification of persons declarations of authorized to perform state and local government functions. Ways of improving legal regulation when conducting financial control of declarations using artificial intelligence technologies are proposed. It has been found that artificial intelligence is widely used in the USA to predict the prevalence and state of crime. It was emphasized that Ukraine also has experience in the application of artificial intelligence technologies in law enforcement activities. Artificial intelligence is used in the development and implementation of departmental specialized intelligent software, the implementation of operative and investigative actions (for the recognition of video objects observation by comparing images in social networks, etc). It was concluded that artificial intelligence and digital technologies help to quickly process large volumes of information in the investigation and prevention of criminal activity. Modern developments in the field of artificial intelligence and advanced digital technologies, which are implemented in foreign countries to prevent and fight crime, are of great importance for the improvement of legal regulation in this field in Ukraine.

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.

AI Applications in Health Sector: Use of Artificial Intelligence in Covid-19 Crisis and Impacts of Medical Robots on Global Economy

The issue of image copyright infringement is prevalent in current e-commerce activities. Users employ methods such as image cropping, compression, and noise addition, making it difficult for traditional copyright detection technologies to identify and track infringements. This study proposes an image copyright registration, protection, and management method based on artificial intelligence and blockchain technology, aiming to address the current challenges of low accuracy in digital copyright infringement judgment, the vulnerability of image fingerprints stored on the chain to tampering, the complexity of encryption algorithms and key acquisition methods through contract calls, and the secure storage of image information during data circulation. The research combines artificial intelligence technology with traditional blockchain technology to overcome the inherent technical barriers of blockchain. It introduces an originality detection model based on deep learning technology after conducting both off-chain and on-chain detection of unidentified images, providing triple protection for digital image copyright infringement detection and enabling efficient active defense and passive evidence storage. Additionally, the study improves upon the traditional image perceptual hashing in blockchain, which has poor robustness, by adding chaotic encryption sequences to protect the image data on the chain, and its effectiveness has been verified through experiments. Ultimately, the research hopes to provide e-commerce entities with an effective and feasible digital copyright protection and management solution, safeguarding their intellectual property rights and fostering a legal and reasonable competitive environment in e-commerce.

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.】

Since the Internet of Things(IoT) secret information is easy to leak in data transfer, a data secure transmission model based on compressed sensing(CS) and digital watermarking technology is proposed here. Firstly, for node coding end, the digital watermarking technology is used to embed secret information in the conventional data carrier. Secondly, these data are reused to build the target transfer data by the CS algorithm which are called observed signals. Thirdly, these signals are transmitted to the base station through the wireless channel. After obtaining these observed signals, the decoder reconstructs the data carrier containing privacy information. Finally, the privacy information is obtained by digital watermark extraction algorithm to achieve the secret transmission of signals. By adopting the watermarking and compression sensing to hide secret information in the end of node code, the algorithm complexity and energy consumption are reduced. Meanwhile, the security of secret information is increased. The simulation results show that the method is able to accurately reconstruct the original signal and the energy consumption of the sensor node is also reduced significantly in consideration of the packet loss.

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.

In addition to creativity, modern landscape design also needs some auxiliary tools to predict the design effect, so as to ensure the design effect before the completion of the landscape. With the development of computer network and electronic information technology, human society has entered the information age, and artificial intelligence technology has been applied to all walks of life. With the continuous development of artificial intelligence, artificial intelligence has existed in all aspects of our lives and has a great impact on our lives. At the same time, through the achievements in recent years, artificial intelligence gradually affects other fields such as design. Therefore, combined with the current situation of landscape design auxiliary system in China, this paper introduces artificial intelligence and information technology into it, and makes the landscape design auxiliary system get further development with the help of artificial intelligence and information technology. This paper first introduces artificial intelligence, analyzes the advantages and development trend of automatic informatization of landscape design auxiliary system, and finally discusses the application of artificial intelligence technology in landscape design auxiliary system.

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.

Art education has undergone significant transformation in the era of digitalization. With the advancement of Artificial Intelligence (AI) technology, there is tremendous potential to enhance the art learning experience. This research aims to elucidate how AI technology can be effectively utilized to improve art education in the context of digitalization. The study aims to introduce AI technology and explore its potential applications in enhancing the art learning experience. In the context of art learning experience, AI technology can provide broader access to digital art collections, online galleries, and virtual museums. Students can explore various artworks and cultures through digital platforms, thereby enriching their understanding and appreciation of art. The research findings reveal that AI technology can offer personalized guidance to students in developing their artistic skills. Intelligent AI systems can analyze students' artworks, provide tailored suggestions, and assist in enhancing their technical and creative abilities. In conclusion, the integration of AI technology in art education holds immense potential to elevate students' learning experiences. By expanding access, providing personalized guidance, and creating interactive experiences, AI technology enriches art learning in the era of digitalization. This is expected to provide greater insights and understanding of how AI technology can be harnessed to enhance the art learning experience in the context of digitalization. By optimizing the potential of AI, art education can become more inclusive, personalized, and engaging.

The acceptance of technology at the higher educational level has been a significant discussion, with little attention on the gender dynamics on the acceptance of artificial intelligence (AI ) tools by senior lecturers. This study delved into a detailed analysis of the gender dynamics in the discussion of technology acceptance mainly AI tools, in foreign language (FL) education. Quantitative study approach was adopted in the process, and survey design was implemented. Data was collected using structured digital questionnaire, based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A total of ninety-five (95) male senior lecturers and one hundred and three (103) female senior lecturers participated in the study. Analysis was conducted using relevant statistical measures. The results showed disparities in the attitudes and views of senior lecturers towards artificial intelligence (AI) technologies in the context of FL education, greatly influenced by gender. In relation to usage, male senior lecturers have higher positive reactions (61.06%) in comparison to their female counterparts (46.6%). However, in relation to the assumption that AI technologies improve the performance of learners, 69% of male senior lecturers agree with this notion, but a substantially greater percentage of 72.81% of female senior lecturers hold the same perspective. Moreover, there exists a little disparity in the level of proficiency in using AI technologies across genders. Specifically, 56.84% of male senior lecturers see it as uncomplicated, while 61.16% of their female counterparts share the same sentiment. The gender discrepancy that is most notable pertains to the perceived level of ease in using artificial intelligence (AI) technologies during foreign language (FL) lessons. The data reveals that a majority of male senior lecturers, calculated as 69.48%, see the use of these tools very easy. In contrast, a much higher proportion of female senior lecturers, 86.41%, share the same perception. This discrepancy highlights a notable disparity in confidence levels between the two genders. These results together emphasise the changing gender dynamics in the acceptance of technology, interrogating conventional assumptions and underscoring the need for customised support systems to guarantee fair and efficient integration of artificial intelligence (AI) technologies in foreign language instruction among senior lecturers.

Commutative encryption and watermarking (CEW) is an emerging method that combines encryption technology with digital watermarking technology. It has the dual capability of secure transmission and copyright protection. However, the existing CEW methods for vector maps have good robustness in resisting geometric attacks but poor resistance to vertex attacks (e.g., addition, deletion, etc.). To solve this problem, here we propose a novel invariant-based CEW algorithm for vector maps, which consists of permutation-based encryption scheme and coordinates-based watermarking scheme. In the encryption scheme, the encryption key is generated via the Gaussian distribution method combined with the SHA-512 hash method; then, the double random position permutation strategy is applied to the vector map encryption. In watermarking embedding scheme, the original watermark image is scrambled via logistic chaotic encryption before embedding, and the coordinates of all the vertices are normalized. Then, the scrambled watermark image is embedded into the normalized coordinates. Results show that: proposed method is more robust to conventional attacks (e.g., vertex addition and deletion, reordering and data format conversion) and geometric attacks (e.g., scaling and translation). In addition, compared with the existing CEW methods for vector maps, the proposed method has higher security and stronger robustness against vertex attacks.

In an era where artificial intelligence (AI) technology is increasingly penetrating various aspects of life, including education, it is important to understand its impact on students' social relationships. These changes raise questions about how interactions between students and teachers are affected by AI Technology. This research aims to investigate the impact or artificial intelligence on students' social relationships in an educational environment. The focus is on understanding changes in interactions between students, student-teacher interaction, as well as broader implications for social dynamics inside the classroom and outside the classroom. The research method used is a literature review which uses data collections sources that are relevant to this research, which can be in books, megazines and other print media, or can be obtained from photos and videos. The research results show that artificial intelligence technology has a complex impact on students' social relationships. Although it can improve efficiency and learning outcomes, AI technology can also reduce social inequality, and create excessive dependence on technology. Educators and policymakers need to carefully consider the use of AI technology in education to ensure that positive impacts are maximized, while negative impacts are minimized.

The rapid advancement of artificial intelligence (AI) technologies has introduced significant legal challenges to copyright protection in Malaysia. Currently, there are no specific laws addressing AI-generated content. The Malaysia Copyright Act 1987 provides a framework for protecting the rights of copyright owners while promoting creativity and innovation. However, it does not adequately address the complexities associated with works created by AI. The main issue in this context is the question of authorship and ownership, particularly whether autonomously created AI works can qualify for copyright protection under the Copyright Act 1987. Furthermore, the lack of judicial precedents leaves many questions unresolved regarding the rights of AI developers and those who input prompts into AI systems Additionally, issues related to originality and the potential for copyright infringement during AI training processes add to the complexity. The challenge of determining whether AI-generated works can be classified as original creations under current laws emphasizes the need for reform. Thus, this paper aims to analyse the legal challenges associated with AI-generated content under Malaysian copyright law and propose pathways for reform to ensure the country remains competitive in the global AI landscape while safeguarding the rights of creators and innovators. A qualitative approach was employed, which included a review of existing literature such as journal articles and legal analyses. The findings of this study suggest that as Malaysia continues to adopt AI technologies, establishing a comprehensive regulatory framework is essential to address these challenges while protecting intellectual property rights.