Abstract: The development of blockchain technology has attracted the attention of global investors.Currently,tens of thousands of smart contracts are deployed on Ethereum.In spite of bringing disruptive innovation to finance,traceability and many other industries,some smart contracts on Ethereum contain fraudulent forms such as Ponzi schemes,causing millions of dollars of losses to global investors.However,at present,there are few quantitative identification methods for Ponzi scheme under the background of Internet finance,few researches on detection of Ponzi scheme contract on Ethereum,and the detection accuracy needs to be improved.Therefore,a Ponzi scheme contract detection method based on deep neural network is proposed.It extracts the features of smart contract that are helpful to identify Ponzi scheme,such as operation code features and account features,to form a data set.Then,the model is trained on the dataset and performance is tested on test set.The experimental results show that the Ponzi scheme contract detection method based on deep neural network has a precision of 99.6% and a recall rate of 96.3%,which are better than that of existing methods.

Key words: Blockchain, Deep neural network, Ethereum, Ponzi scheme, Smart contract