Visible to the public Biblio

Filters: Author is Yang, Ming  [Clear All Filters]
2020-07-10
Yang, Ying, Yu, Huanhuan, Yang, Lina, Yang, Ming, Chen, Lijuan, Zhu, Guichun, Wen, Liqiang.  2019.  Hadoop-based Dark Web Threat Intelligence Analysis Framework. 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). :1088—1091.

With the development of network services and people's privacy requirements continue to increase. On the basis of providing anonymous user communication, it is necessary to protect the anonymity of the server. At the same time, there are many threatening crime messages in the dark network. However, many scholars lack the ability or expertise to conduct research on dark-net threat intelligence. Therefore, this paper designs a framework based on Hadoop is hidden threat intelligence. The framework uses HDFS as the underlying storage system to build a HBase-based distributed database to store and manage threat intelligence information. According to the heterogeneous type of the forum, the web crawler is used to collect data through the anonymous TOR tool. The framework is used to identify the characteristics of key dark network criminal networks, which is the basis for the later dark network research.