An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams
Published in 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 2022
A novel Attention-based Long Short-Term Memory (A-LSTM) method is proposed for the classification problem to determine whether a transaction is involved in Ponzi schemes or other cyber scams, or is a non-scam transaction.
Recommended citation: Zhao, P., Tian, W., Xiao, L., Liu, X., & Wu, J. (2022, December). An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams. In 2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS) (pp. 21-26). IEEE.
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