Aug. 11, 2023, 6:11 a.m. | Kai Li, Darren Lee, Shixuan Guan

cs.CR updates on arXiv.org arxiv.org

This paper presents a comprehensive analysis of the cryptocurrency free
giveaway scam disseminated in a new distribution channel, Twitter lists. To
collect and detect the scam in this channel, unlike existing scam detection
systems that rely on manual effort, this paper develops a fully automated scam
detection system, \textit{GiveawayScamHunter}, to continuously collect lists
from Twitter and utilize a Nature-Language-Processing (NLP) model to
automatically detect the free giveaway scam and extract the scam cryptocurrency
address.


By running \textit{GiveawayScamHunter} from June 2022 …

analysis automated channel collect cryptocurrency detect detection distribution free giveaway lists scam scam detection systems twitter understanding

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