Research on Comprehensive Blockchain Regulation and Anti-fraud System

The blockchain technology has attracted attention due to its characteristics of anonymity, openness, decentralization, traceability, and tamper-resistance. However, with the development of the blockchain industry, various financial fraud activities have also emerged on the blockchain. Effective regulation is a necessary condition for the healthy development of the blockchain ecosystem. A comprehensive blockchain anti-fraud prototype system is a system that combines multiple technologies to achieve fraud detection and anti-fraud techniques, aimed at addressing the existing fraud issues in the blockchain field. In this paper, we design and implement an anti-fraud system prototype based on a graph database platform and neural network model. The prototype system has the characteristics of fast, accurate, and reliable, and can effectively combat blockchain fraud activities by identifying blockchain transaction patterns and detecting illegal transaction behavior using new heuristic learning methods and graph neural network methods to detect frequent frauds. The system monitors and detects fraudulent activities such as phishing, ICO, price manipulation, money laundering, and illegal fundraising. The research results of this paper can provide an effective solution for anti-fraud work in the blockchain field and provide technical support for future wider applications.