The proactive defense strategy for network security is an effective method to prevent network security threats and reduce network security risks.This strategy emphasizes initiative and prevention,aiming to take proactive measures to prevent potential network security threats,thereby reducing network security risks.Deep learning is a machine learning technology based on simulating the neural network structure of the human brain,with its core idea being the deep structure of multi-layer neural networks.Unlike traditional machine learning techniques,deep learning uses multiple layers of neurons to represent complex nonlinear relationships,enabling it to better simulate the structure and function of the human brain's neural network.This article proposes a novel network security defense strategy based on deep learning models,which can achieve real-time monitoring and prediction of network security threats.This strategy has significant effects in enhancing network security protection capabilities,enabling it to respond to complex network attacks and predict future network attack trends and vulnerabilities.It represents a brand-new approach to network security protection.
维普
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