Construction and Application Analysis of University Network Security Defense System

With the rapid development of information technology, the importance of university network security has become increasingly prominent. As a center for knowledge innovation and information exchange, university network systems not only carry a large amount of academic resources and research data, but also involve the personal information and privacy protection of teachers and students. Therefore, it is particularly important to build a sound university network security defense system. This paper analyzes the current situation and challenges of university network security, explores the common types of network attacks and their characteristics, and proposes the needs of university network security in response to these challenges. To meet the needs of network security, this paper integrates key technologies such as intrusion detection system, user behavior analysis, artificial intelligence and machine learning, and designs a multi-level defense architecture. In addition, this paper combines social network analysis, discrete recursive quantitative analysis, cognitive model and explanatory artificial intelligence to further enhance the flexibility and adaptability of the defense system. Practical application cases verify the effectiveness of these technologies in university network security defense. In short, building a comprehensive network security defense system can effectively respond to the threats of complex networks and ensure the information security and normal operation of universities.