This paper is based on artificial intelligence environment, combined with artificial neural network to quantify the evaluation index. By connecting the number of nodes to determine the input signal dimension to, from the fuzzy matrix and fuzzy affiliation matrix, calculate the network information security risk data, network information security risk assessment and analysis. The artificial intelligence network framework security risk processing rate is as high as 100%, and the average time consumed is above 14 s in all cases. The training error accuracy is 0.72, and the expected output is stable at 0.68. Meticulous protection of computer network security, improve network information security, so as to improve their own network security awareness.

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Risk Assessment of Computer Network Information Security in the Context of Artificial Intelligence

  • Chenyao Sun

摘要

This paper is based on artificial intelligence environment, combined with artificial neural network to quantify the evaluation index. By connecting the number of nodes to determine the input signal dimension to, from the fuzzy matrix and fuzzy affiliation matrix, calculate the network information security risk data, network information security risk assessment and analysis. The artificial intelligence network framework security risk processing rate is as high as 100%, and the average time consumed is above 14 s in all cases. The training error accuracy is 0.72, and the expected output is stable at 0.68. Meticulous protection of computer network security, improve network information security, so as to improve their own network security awareness.