Abstract
In the information age, the rapid development of computer network technology and artificial intelligence technology has created conditions for the development of traditional libraries to digital libraries. While computer network technology and artificial intelligence technology continue to promote the development of digital libraries, library network security issues also arise. The purpose of this paper is to explore the application analysis of artificial intelligence technology in library network security. This article puts forward the problem of library network system security, describes the concept and characteristics of library network system security, and aims at the basic factors affecting the security of digital library network system, constructs artificial intelligence-based books from the perspective of management and technology Preventive mechanism for library network system security. In terms of situation prediction, this article uses artificial intelligence technology and analytic hierarchy process to evaluate the network security situation. This method can quickly extract parameters and can quickly evaluate the current network, thereby improving the real-time performance of the situation assessment. The optimized support vector machine method overcomes the subjectivity of support vector machine parameter selection, thereby improving the prediction accuracy of the network security situation. The simulation experiment verifies that the optimized support vector machine prediction model has a higher value for the network security situation. Forecast accuracy. Experimental research shows that the PSO-SVR prediction model used in this article can predict the future situation value relatively closely, help library management network administrators analyze the future network situation, and prompt library management network administrators to adjust defense strategies in time based on threat assessment to maintain library management network Safe and healthy operation.
Published Version
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