Abstract

The rapid development of computer technology has penetrated into all areas of people's work and life. At the same time, with the rapid development of wireless network technology, colleges and universities have become the biggest beneficiaries of the later development of wireless network technology. At the same time, the problem of wireless network security technology and application in colleges and universities is an unavoidable problem in the current Internet era, and the development of network security technology is also changing with each passing day. The purpose of this article is to study wireless network security technology and applications in colleges and universities. This research summarizes and analyzes the current status of wireless network security and the development trends and key technologies in this field. Through case investigation and case analysis, the current wireless network security characteristics and network security technology applications in universities are investigated and analyzed, and the university is summarized Wireless network security features and applications. Combining the current mainstream wireless network security protection technology and security protection strategy, research and design a multi-level, multi-measure university wireless network security protection program to ensure the network security of colleges and universities. Taking a university as an example, the research and application of the wireless network security event detection method and application scheme using data fusion technology designed and proposed in this study for the wireless network security technology of universities and colleges have been verified through actual security technology application and effect testing the effectiveness and applicability of the proposed algorithm and scheme. The survey results show that for a sensor network with 1250 nodes, the efficiency of the algorithm proposed in this study is 2.1%, while the efficiency of this protocol of the MCTA algorithm is 0.9%, and that of the Gur Game algorithm is 0.27%. Compared with the other two methods, the algorithm and scheme proposed in the article are more suiTable for intensive dynamic wireless sensor network security technology applications.

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