This article presents MDST-GNN, a multi-distance spatial-temporal graph neural network for blockchain anomaly detection. To address challenges in detecting fraudulent cryptocurrency transactions, MDST...

In the cloud storage environment, data providers encrypt their data before transferring it to the cloud server to reduce storage pressure and facilitate internal sharing. However, most of the plans ha...

In the Industrial Internet of Things (IIoT), the data integrity in secure transmission improves the reliability of data analysis. To further reduce bandwidth consumption, the aggregate signature (AS) ...

In response to the burgeoning cryptocurrency sector and its associated financial risks, there is a growing focus on detecting fraudulent activities and malicious addresses. Traditional studies are lim...

Forecasting cryptocurrency prices is challenging due to market volatility and dynamic behavior. This study aims to enhance prediction accuracy for Bitcoin (BTC), Ethereum (ETH), and Litecoin (LTC) by ...