Abstract
The era of big data has greatly expanded the channels for people to obtain information, but there are also hidden dangers of information security. This research mainly discusses the status quo of college students' network security awareness in the context of big data. The use of big data to collect online thought and behavior data of young students is mainly done by relying on computer software technology, and is less affected by human factors. Big data technology can more clearly understand the true mental state of the collection object. Network ideology workers in colleges and universities should make good use of this feature, enhance the objectivity of data collection, better grasp the ideological trends of young students, and real-time grasp of people's ideological conditions require dynamic data collection and analysis. The use of big data technology to conduct in-depth mining and analysis of these changing data, so as to achieve an accurate evaluation of the effectiveness of college network ideology construction. In terms of dangerous behavior, the average value of boys is 4.5974 and that of girls is 4.8049. Girls are better than boys in the latitude of dangerous behaviors. This research has positive significance for the construction of network security for university workers.
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