Research on Application of Computer Network Security Based on Artificial Intelligence in Background of Elderly Education
Using the dynamic Landscape Affinity algorithm,the researchers developed an innovative memory detector that can be used to improve cybersecurity,especially against ever-changing cyber threats.The results show that the dynamic Landscape Affinity algorithm generates more memory detectors,the true positive value is 3.99%higher than the original algorithm,and the false positive value is 9.006%lower than the original algorithm.At the same time,the standard deviation is also small,which verifies that the improved algorithm has higher stability.In the fourth stage,when the Fuzzers attack was present in the antibody memory,the risk value rose rapidly,showing the real-time response of the NARM-AI risk assessment model to the network risk in this situation.The contribution of this study is that by improving the dynamic Landscape Affinity algorithm,it not only improves the stability of network security,but also improves the real-time response ability to network risks.The results have practical implications,as it can not only be used to improve the cybersecurity of the elderly,but also provide a new and effective solution for other cybersecurity applications aimed at non-professional users.
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