Data-driven Smart Ponzi Scheme Detection

Liang, Yuzhi, Wu, Weijing, Lei, Kai, Wang, Feiyang

arXiv.org Artificial Intelligence 

Tóm tắt nội dung--A smart Ponzi scheme is a new form of economic crime that uses Ethereum smart contract account and cryptocurrency to implement Ponzi scheme. The smart Ponzi scheme has harmed the interests of many investors, but researches on smart Ponzi scheme detection is still very limited. The existing smart Ponzi scheme detection methods have the problems of requiring many human resources in feature engineering and poor model portability. To solve these problems, we propose a datadriven smart Ponzi scheme detection system in this paper. The system uses dynamic graph embedding technology to automatically learn the representation of an account based on multi-source and multi-modal data related to account transactions. Compared with traditional methods, the proposed system requires very limited human-computer interaction. To the best of our knowledge, this is the first work to implement smart Ponzi scheme detection through dynamic graph embedding. Ponzi schemes require a constant flow of funds from new investors. The detection method based on source contributed by new investors to pay off the returns of existing code inspection detects the smart Ponzi scheme by manually investors (Figure 1).