Research on the Collection Method of Financial Blockchain Risk Prompt Information from Sandbox Perspective

Shuang Wang
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引用次数: 4

Abstract

In view of the low accuracy of the current collection method of financial blockchain risk prompt information, the collection method of financial blockchain risk prompt information under the sandbox view threshold is proposed. Under the sandbox vision, the parser parses the URL of financial blockchain risk prompt message and USES the buron filtering algorithm to de-weight the URL. The URL after weight removal is added into the library to be crawled, and the crawling URL is clustered by using the clustering algorithm to calculate the similarity between URL and noise URL in the cluster, and the URL with high similarity is removed. The web crawler collects the URL queue after denoising, saves the collected URL to the database, and runs the URL resolution program to complete the collection of risk warning information. Through the comparison test with the current information collection method, it proves that the designed method of financial block chain risk prompt information collection under the sandbox vision threshold has higher collection accuracy and advantages.
基于沙盒视角的金融区块链风险提示信息收集方法研究
针对当前金融区块链风险提示信息采集方法准确率较低的问题,提出了沙盒视图阈值下的金融区块链风险提示信息采集方法。在沙盒愿景下,解析器解析金融区块链风险提示信息的URL,并使用buron过滤算法对URL进行去权重处理。将去权后的URL加入到待爬行的库中,利用聚类算法对爬行URL进行聚类,计算聚类中URL与噪声URL的相似度,去除相似度高的URL。网络爬虫采集去噪后的URL队列,将采集到的URL保存到数据库中,并运行URL解析程序,完成风险预警信息的采集。通过与现有信息采集方法的对比测试,证明所设计的沙盒视觉阈值下金融区块链风险提示信息采集方法具有更高的采集精度和优势。
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