Based on Financial Characteristics to Capture the Source of Funds of the Ponzi Scheme on Ethereum with Graph Traversal Technology

Detecting Ponzi schemes in blockchain is an urgent task due to the various illegal transactions generated on the blockchain, among which Ponzi schemes are difficult to identify. The high returns promised by Ponzi schemes lure more and more people into the fraud. To prevent further economic losses, this paper proposes a detection method based on the financial features of Ponzi schemes and graph theory. By constructing a transaction subgraph of the fund sources of Ponzi schemes and traversing the subgraph, the proposed method can locate the fund source nodes of Ponzi schemes according to the matched subgraph structure. This paper is the first to combine the financial features of Ponzi schemes with graph algorithm techniques to study the simultaneous de-anonymization of multiple nodes in Ponzi schemes.