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Titlebook: Distributed Ledger Technology; 7th International Sy Naipeng Dong,Babu Pillai,Mark Utting Conference proceedings 2024 The Editor(s) (if appl

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https://doi.org/10.1057/9780230252943s a benchmark, our algorithm 1) improves the account update time from . to . and 2) reduces the batch update cost by half using a one-pass traversal. Empirical analysis of real-world block data shows that our algorithm outperforms the benchmark by at most 14%.
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https://doi.org/10.1057/9780230270800privacy-enhancing methods for NFTs. We collected transaction data from a blockchain-based game called Planet IX that was built on the Polygon blockchain and used graph visualisation to provide examples for constructed connections.
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The British Commonwealth and Empire potential legal and regulatory considerations. By shedding light on the intersection of NFTs and music copyright, this research aims to contribute to the ongoing discourse surrounding the transformative potential of blockchain technology in the music industry and its implications for creators, copyright holders, and music enthusiasts alike.
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https://doi.org/10.1057/9780230270800e payment system utilising the NPP platform, the paper also examines the reasons for the limited adoption of real-time payments despite their clear advantages over traditional digital payment methods.
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,Linking NFT Transaction Events to Identify Privacy Risks,privacy-enhancing methods for NFTs. We collected transaction data from a blockchain-based game called Planet IX that was built on the Polygon blockchain and used graph visualisation to provide examples for constructed connections.
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,The Benefits of Non-Fungible Token (NFT) Technology in Music Copyright, potential legal and regulatory considerations. By shedding light on the intersection of NFTs and music copyright, this research aims to contribute to the ongoing discourse surrounding the transformative potential of blockchain technology in the music industry and its implications for creators, copyright holders, and music enthusiasts alike.
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Detecting Malicious Blockchain Transactions Using Graph Neural Networks,ifying patterns. This is the first work that considers a generalised graph representation for the Bitcoin and Ethereum networks and analyses their behaviour using a combination of heterogeneous GNN framework’s GraphSAGE and Graph Attention Network (GAT). The classification results reveal that the pr
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