Abstract
AbstractWith the rapid development of Internet technology, network security (NS) issues have attracted people’s attention, and the types of threats to network security have become more diverse. Therefore, the application of new technologies is essential to accurately understand, monitor and analyze the network information security status in real time. However, for data sets with huge information and complex changing trends, it is impossible to completely rely on traditional manual analysis methods to reveal the effective intelligence hidden in massive data and information. This requires the use of special analysis tools, namely big data technology, to mine potential intelligence information. This article uses big data technology to construct an intelligence analysis system, organizes the data information of the perpetrators according to the police intelligence analysis work, and clusters the personnel with similar characteristics of the crime. According to the results of the cluster analysis, the perpetrators are grouped into 4 categories. Category 0 accounted for 25%, category 1 accounted for 46.67%, category 2 accounted for 18.33%, and category 3 accounted for 10%. KeywordsNetwork securityIntelligence analysisBig data technologyCluster analysis
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