Block chain transaction data anomaly detection method and device for privacy protection

The invention discloses a privacy-protected block chain transaction data anomaly detection method and device, and the method is realized based on a block chain technology and an application cryptography technology, compares block chain transaction data with historical transaction data through a Gaussian window, and carries out the filtering. Therefore, abnormal transaction data possibly participating in illegal activities such as fraud and money laundering can be screened out. According to the method, the problem that illegal persons may perform illegal fraud or money laundering activities by using NFT which is not a standardized coin in the block chain transaction data is solved, and meanwhile, the privacy information of the block chain transaction data of transaction participants is protected. 本发明披露了一种隐私保护的区块链交易数据异常检测方法及设备，其基于区块链技术和应用密码学技术实现，并通过高斯窗口来将区块链交易数据与其历史交易数据进行比较后过滤，从而可以筛选出可能参与诈骗、洗钱等非法活动的异常交易数据。本发明不仅解决了在区块链交易数据中，非法分子可能会利用NFT不是一种标准化硬币来进行一些非法诈骗或洗钱活动，同时，还保护了交易参与者的区块链交易数据的隐私信息。