Research on Internet Security Big Data Protection Technology and Model Simulation Design Based on Deep Learning

With the increasing threat of network attacks to network information systems, we need to take more active internet security protection technologies to meet the growing demand for internet security defense. In the big data (BD) environment, identifying internet security risks, discovering internet security incidents in time, understanding the internet security situation in real time, and predicting the future development trend of internet security can reduce internet security risks and enhance internet security defense capabilities. This article aims to introduce the theory and practice of internet security BD protection technology and model simulation design based on deep learning (DL), and introduce an advanced DL algorithm to build an active defense system for BD networks and improve network defense capabilities. Through the analysis and research of key links such as BD collection, DL algorithm and internet security application, we will explore how to use DL model to build a powerful internet security protection system, and realize automatic detection and prevention experiments of various network attacks and threats. Finally, the simulation research method of this model is used to investigate. The results show that the internet security situation assessment method based on improved DL can reflect the internet security situation more comprehensively, timely and accurately, and verify the effectiveness and applicability of the internet security protection model in BD environment.