Research on Network Security and Prevention in Higher Education Based on Artificial Intelligence
DOI: https://doi.org/10.62517/jbdc.202401425
Author(s)
Renmao Zhao
Affiliation(s)
School of Information and Intelligence Engineering, University of Sanya, Sanya, Hainan, China
Abstract
In today's information age, the rapid development of artificial intelligence and big data technologies is driving transformation and innovation across various industries. However, with the widespread application of artificial intelligence and big data, network security issues have become increasingly prominent. As an important venue for information technology construction, network security significantly impacts the stable operation of schools and their teaching and research activities. Additionally, the openness and diversity of the network environment in higher education institutions make the protection of network security even more challenging. Only by taking proactive measures to address the various threats posed by network security can we create a better campus environment and promote the healthy growth of students. While advancing information technology construction, higher education institutions also need to continuously enhance their network security protection levels to create a safe and trustworthy online environment for teachers and students, thereby facilitating the smooth progress of teaching, research, and management work.
Keywords
Artificial Intelligence; Big Data; Network Security; Countermeasures
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