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An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams. (arXiv:2210.14408v1 [cs.CR])
Oct. 27, 2022, 1:20 a.m. | Puyang Zhao, Wei Tian, Lefu Xiao, Xinhui Liu, Jingjin Wu
cs.CR updates on arXiv.org arxiv.org
Bitcoin is the most common cryptocurrency involved in cyber scams.
Cybercriminals often utilize pseudonymity and privacy protection mechanism
associated with Bitcoin transactions to make their scams virtually untraceable.
The Ponzi scheme has attracted particularly significant attention among Bitcoin
fraudulent activities. This paper considers a multi-class classification
problem to determine whether a transaction is involved in Ponzi schemes or
other cyber scams, or is a non-scam transaction. We design a specifically
designed crawler to collect data and propose a novel Attention-based …
More from arxiv.org / cs.CR updates on arXiv.org
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