NFT (Non-Fungible Token) has considerable potential in the field of intellectual property. It can not only improve the efficiency of copyright registration but also promote the improvement of transaction transparency and liquidity. However, existing copyright protection schemes of NFT image relied on the NFTs itself minted by third-party platforms. Also, the widespread use of NFTs has introduced new complexities to copyright protection due to their unique nature. Therefore, we have proposed a multi-layered blockchain security framework to resolve security vulnerabilities by protecting users from threats such as illegal copying, intellectual property rights infringement, and malware infection that may occur during the process of acquiring NFT assets through analysis of smart contracts, metadata, and digital assets that constitute NFTs.
Castillo Rey A., M Ganapathy Ramu, T. S., Petra Carolline Putri S ยท 7 authors
Several industries, among them agriculture, have shown interest in distributed ledger technology (DLT).The researchers explore how DLT can be used in agriculture, with a focus on its potential to disrupt supply chain management and enhance transparency.Furthermore, DLT has the possibility of greatly improving agriculture through addressing issues such as traceability, origin, and information sharing.The implementation of DLT will allow every player along the entire agricultural supply chain, such as farmers, producers, distributors, retailers, and consumers, to possess clear, immutable records about each transaction while promoting accountability and confidence in the market.The study used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method.The results of the systematic review shown in this paper suggest that DLT has the potential to revolutionize the agricultural sector by providing a secure and transparent system of data storage and sharing.However, the current literature is limited, and further research is needed in order to fully understand the implications of DLT in agriculture.Overall, the blockchain appears to be a very useful DLT in cacao traceability, and it is a means of reducing fraud and errors in the supply chain in the near future, thereby increasing quality and safety.
Theme, background and signal music is the music inserted into broadcasting contents of a broadcaster, and is recognized as a created content like normal music. Since there are lyricists and composers who have the rights of music, the copyright fee is distributed. However, there often occur problems with inaccurate monitoring results for theme, background and signal music usage due to the omission of usage details and non-transparent settlement method. In this paper, we propose a method of generating music usage monitoring information based on a blockchain, on which the usage information of music source is recorded by the usage monitoring tool based on the feature-based filtering technology of monitoring organizations. The framework proposed in this paper includes a blockchain network structure, a series of transaction procedures in which the theme, background and signal music usage history is stored and the recorded data format in the blockchain ledger. In the proposed framework, accurate music usage details can be created, details are stored in blocks without changes or omissions, and eventually transparent settlement and distribution are possible by processing smart contract, instead of previous non-transparent settlement practice.
In this study, future cars are attempting self-driving around the world. However, hacking, such as ECUs in automobiles, creates problems that are directly connected to human life. Therefore, this study wrote a paper that detects anomalies in such cars by field. As a related study, the study investigated the vulnerabilities of the automobile security committee and automobile security standards and investigated the detection of abnormalities in the hacking of geo-train cars using artificial intelligenceโs LSTM and blockchain consensus algorithm. In addition, in automobile security, an algorithm was studied to predict normal and abnormal values using LSTM-based anomaly detection techniques on the premise that automobile communication networks are largely divided into internal and external networks. In the methodology, LSTMโs pure propagation malicious code detection technique was used, and it worked with an artificial intelligence consensus algorithm to increase security. In addition, Unity ML conducted an experiment by constructing a virtual environment using the Beta version. The LSTM blockchain consensus node network was composed of 50,000 processes to compare performance. For the first time, 100 Grouped Tx, 500 Channels were tested for performance. For the first time, the malicious code detection rate of the existing system was verified. Accelerator, Multichannel, Sharding, Raiden, Plasma, and Trubit values were verified, and values of approximately 15,000 to 50,000 were obtained. In this paper, we studied to become a paper of great significance on hacking that threatens human life with the development of self-driving cars in the future.
This thesis is divided into eight sections that contextualize and illustrate the market potential for commercial PPA solar leasing on mid-sized commercial roofs in the US.First, a discussion of the drawbacks from fossil fuel reliance reveals the benefits of solar energy.The second section explains the photovoltaic effect and the process through which sunlight is converted to electricity.From that foundation, the theoretical solar dependence in the US is then contrasted with current energy consumption.The disparity shown to be the result of such large-scale challenges as the reliance on peak power plants, unavoidable heat losses and other problems stemming from the lack of a decentralized grid infrastructure.By factoring in these challenges, a commercialization strategy for mid-sized commercial photovoltaics business is realized, which logically leads to a discussion of the cost trends of photovoltaic modules and parts.Understanding costs gives rise to an examination of potential pricing options in the following section, along with breakeven analyses.Lastly, a discussion of the developments of the solar industry shows that traditional silicon wafer cells are the least expensive and most efficient technology available, and that a hypothetical company serving enterprise-class data centers in the state Ohio will break even in 9 years with optimal debt financing.