# Research on Blockchain Transaction Privacy Protection Methods Based on Deep Learning
## 5 Conclusions and Discussions  
To address the challenge of balancing privacy protection and regulatory requirements in blockchain transactions, we integrate multiple cryptographic technologies, utilizing probabilistic public-key cryptography, identity-based cryptography (IBC), Pedersen commitments, and Bulletproofs techniques, combined with deep learning graph neural networks, to propose a blockchain transaction and regulatory scheme that offers both privacy protection and regulatory functions. Our scheme can be applied as an independent module in existing blockchain technologies. Our analysis of its security performance reveals that the blockchain transaction scheme is simple and practical. It holds extensive applicative value in areas such as digital asset risk analysis and financial transaction regulation.  
Although our scheme balances privacy protection and regulatory functions, it still has some limitations. For example, there is still room for optimizing the improvement in transaction efficiency. It is an important research direction to improve the transaction speed, reduce the verification time, and minimize the computational overhead as much as possible in regulatable blockchain transactions. In addition, it is also important to choose appropriate privacy protection schemes for different transaction scenarios. Therefore, future research will focus on realizing the balance of privacy protection, regulatory function, transaction efficiency and other elements in blockchain transactions.  
Legal regulations are also an important issue to be considered for blockchain technology. Blockchain's decentralization, tamper-resistance, transparency, and security make it widely applicable in the financial sector, which has resulted in some illegal activities choosing to use blockchain technology for transactions. Therefore, countries are developing specific laws and regulations related to cryptocurrencies, such as registration requirements for trading platforms and anti-money laundering regulations. At the same time, they are actively supervising the digital currency market to prevent possible financial risks. In addition, several other countries have established specific regulatory frameworks for blockchain, aiming to maintain financial security, protect consumer interests, and enhance the ability to combat money laundering. Our scheme provides regulatory capabilities for blockchain trading activities under the premise of privacy protection, which can help relevant organizations avoid illegal transactions. However, the current legal system of each country for blockchain technology is still not perfect, and the relevant rules are still being optimized. Therefore, future research should enhance the compatibility and flexibility of the scheme to adapt to the legal requirements of different countries.  
Investigation, software, writing--original draft preparation, validation, and methodology, C.Z.; conceptualization, methodology, supervision, and writing--review and editing, J.L.; computing resources and automated data collection, J.Z.; data curation and writing, Y.S. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the Basic Research Project of the National Defense Science and Industry Bureau (Project No. JCKY2022405C010) and the Translational Application Project of the \"Wise Eyes Action\" (Project No. F2B6A194). We would like to express our deepest gratitude to these organizations for their generous funding and support.  
The data can be shared up on request and the data are not publicly available due to security reasons.  
The authors declare no conflicts of interest.