Titlebook: Blockchain and Trustworthy Systems; 5th International Co Jiachi Chen,Bin Wen,Ting Chen Conference proceedings 2024 The Editor(s) (if applic

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Lexical Priming in Spoken English Usageaction, and classification algorithms. Additionally, we discuss the potential of applying graph convolutional networks (GCN) to the domain of blockchain anomaly detection and predict that GCN will likely become a mainstream approach in the near future.

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Privacy Protection Multi-copy Provable Data Possession Supporting Data Reliability. Furthermore, our approach uses random masking techniques to develop unique replica blocks and safeguard privacy. We’ve also ensured data reliability by enabling PMPDP-R to locate damaged data blocks to aid recovery. The experimental analysis proves that our scheme is both practical and effective.

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A Survey on?Blockchain Abnormal Transaction Detectionaction, and classification algorithms. Additionally, we discuss the potential of applying graph convolutional networks (GCN) to the domain of blockchain anomaly detection and predict that GCN will likely become a mainstream approach in the near future.

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Lexical Diversity and Language Developmentribution transactions. Additionally, a peeling chain search algorithm is proposed to detect distribution transactions in the chain, and its validity is demonstrated through experiments. The findings of this study have implications for other Bitcoin mixing services.

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/189230.jpg