Research on Network Attack Detection and Defense Methods Based on Machine Learning
Traditional network attack detection and defense techniques generally have the problems of low solution accuracy,slow convergence speed,and easy to fall into the local optimal solution.In order to improve the level of network security technology and cope with the increasingly prominent phenomenon of illegal network data attacks,the article proposes the network attack detection and defense technology based on machine learning,and tests the performance of the model design,and the results show that the network attack detection and defense effect of the new method is significantly better than that of the traditional method,and it has a better security and defense effect.
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