Secure protection for covid-19 infographic using blockchain and discrete cosine transform-singular value decomposition (DCT-SVD) watermarking

Covid-19 infographics have a crucial role in mitigating the covid-19 pandemic by conveying the complex Covid19 information in a form of a simple yet understandable image. However, keenly to contribute to mitigating Covid-19, numerous parties and agencies had released Covid-19 infographics that might contain incorrect or inaccurate information. To prevent such recurrent, this paper proposed an authentication system by using a blockchain-based authorization service that lets the authority guarantee the correctness and validity of the infographics in a transparent manner. We proposed smart contract-based watermarking requests and approval management that let anyone track the watermarking process. To prevent unauthorized infographic fabrications, we use the DCT-SVD method considering its robustness against various attacks. We deployed and evaluated the smart contract on Ethereum test networks (Ropsten, Rinkeby, Goerli, and Kovan) to compare the efficiency and the ease of use. The result showed that the test networks have similar efficiency while the Ropsten and Goerli have better ease of use. The watermark validation service is accessible via a web-based interface for anyone to check the validity of the infographic’s watermark

a blockchain based proposal for protecting healthcare systems through formal methods

Abstract Blockchain technology is one of the most important and disruptive technologies in the world. Multiple industries are adopting the blockchain technology to innovate the way they work. One of the industries that are looking to adopt the blockchain is the healthcare industry. In fact, the protection of the private information stored in hospital database is a critical issue. In this paper we propose a method aimed to protect information exchanged in hospital networks, with particular regard to magnetic resonance images. As required from blockchain technology, each host network must validate the transiting data network: we exploit formal equivalence checking to perform this validation, by modeling magnetic resonance images in terms of automata by exploiting radiomic features

Blockchain and smart contracts in the recording industry

Purpose: A burgeoning body of research has described how the blockchain technology may affect the way firms operate within the recording industry which has undergone profound changes due to the dematerialisation of music and the emergence of now consumption habits. The purpose of the paper is to explore both the challenges and the opportunities related to the application of smart contracts and blockchain mechanisms to the recording industry. Approach/Methodology/Design: Based on a review of contributions made to the literature in various fields, we discuss recent developments, relying on several examples and use cases which bring an updated perspective to a topical question. While the blockchain brings interesting solutions in favour of an improved management of copyright data and fees collection, several barriers impede their uptake and large-scale adoption. Findings: We argue that the absence of both technological and regulatory standards, the resistance to change, and the necessary use of cryptocurrency, are all obstacles to a profound transformation of the sector. Practical Implications: To overcome these limitations, we suggest three recommendations that deal with technological standards, cooperative agreements, and international regulation around blockchain. Originality/Value: So far, the literature tends to focus either on blockchain technology or on smart contracts when discussing technological evolution within the recording industry. In this paper, we bring together these two elements which are definitely complementory to each other. Further research efforts are required to investigate in more details the feasibility and relevance of the recommendations we make.peer-reviewe

Exploration of media blockchain technologies for JPEG privacy and security

Privacy and security, copyright violations and fake news are emerging challenges in digital media. Social media and data leaks increase risk of user privacy. Creative media particularly images are often susceptible to copyright violations which poses a serious problem to the industry. On the other hand, doctored images using photo editing tools and computer generated images may give a false impression of reality and add to the problem of fake news. These problems demand solutions to protect images and associated metadata as well as methods that can proof the integrity of digital media. For these reasons, the JPEG standardization committee has been working on a new Privacy and Security standard that provides solutions to support privacy and security focused workflows. The standard defines tools to support protection and integrity across the wide range of JPEG image standards. Related to image integrity, blockchain technology provides a solution for creating tamper proof distributed ledgers. However, adopting blockchain technology for digital image integrity poses several challenges at the technology level as well as at the level of privacy legislation. In addition, if blockchain technology is adopted to support media applications, it needs to be closely integrated with a widely adopted standard to ensure broad interoperability. Therefore, the JPEG committee initiated an activity to explore standardization needs related to media blockchain and distributed ledger technologies (DLT). This paper explains the scope and implementation of the JPEG Privacy and Security standard and presents the current state of the exploration on standardization needs related to media blockchain applications

A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions

With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in content creation and knowledge representation. AIGC uses generative large AI algorithms to assist or replace humans in creating massive, high-quality, and human-like content at a faster pace and lower cost, based on user-provided prompts. Despite the recent significant progress in AIGC, security, privacy, ethical, and legal challenges still need to be addressed. This paper presents an in-depth survey of working principles, security and privacy threats, state-of-the-art solutions, and future challenges of the AIGC paradigm. Specifically, we first explore the enabling technologies, general architecture of AIGC, and discuss its working modes and key characteristics. Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies. Furthermore, we review the state-of-the-art AIGC watermarking approaches for regulatable AIGC paradigms regarding the AIGC model and its produced content. Finally, we identify future challenges and open research directions related to AIGC.Comment: 20 pages, 6 figures, 4 table

Billetera De Música Basada En Blockchain Para Protección De Derechos De Autor En Archivos De Audio

The works produced within the music industry are presented to their listeners on a digital platform, taking advantage of technology. The problems of the past, such as pirated cassettes and CDs, have left their place to the problem of copyright protection on digital platforms today. Block chain is one of the most reliable and preferred technology in recent times regarding data integrity and data security. In this study, a blockchain-based music wallet model is proposed for safe and legal listening of audio files. The user's selected audio files are converted into block chain structure using different techniques and algorithms and are kept securely in the user's music wallet. In the study, performance comparisons are made with the proposed model application in terms of the length of time an ordinary audio player can add new audio files to the list and the response times of the user. The findings suggest that the proposed model implementation has acceptable differences in performance with an ordinary audio player.Las obras producidas dentro de la industria de la música se presentan a sus oyentes en una plataforma digital, aprovechando la tecnología. Los problemas del pasado, como los casetes y CD pirateados, han dejado su lugar al problema de la protección de los derechos de autor en las plataformas digitales de hoy. Blockchain es una de las tecnologías más confiables y preferidas en los últimos tiempos en lo que respecta a la integridad y seguridad de los datos. En este estudio, se propone un modelo de billetera de música basado en blockchain para escuchar archivos de audio de manera segura y legal. Los archivos de audio seleccionados por el usuario se convierten en una estructura de cadena de bloques utilizando diferentes técnicas y algoritmos y se guardan de forma segura en la billetera de música del usuario. En el estudio, se realizan comparaciones de rendimiento con la aplicación modelo propuesta en términos de la cantidad de tiempo que un reproductor de audio normal puede agregar nuevos archivos de audio a la lista y los tiempos de respuesta del usuario. Los hallazgos sugieren que la implementación del modelo propuesto tiene diferencias aceptables en el rendimiento con un reproductor de audio común.Facultad de Informátic