基于深度学习的计算机网络安全技术研究

Research on Computer Network Security Technology Based on Deep Learning

当前,计算机网络已经在社会中多个行业普及,并表现出不同深度、不同层次的应用。但是,这种大规模应用使得计算机网络面临的安全问题日益凸显。由于计算机及互联网已经成为人们生活中的关键组分之一,在社会生活生产中发挥着不容忽视的重要作用,研究网络安全技术就显得至关重要。深度学习的概念被提出之后,以深度学习为理论基础强化计算机网络安全技术,成为当下计算机网络安全技术发展的主要方向之一。因此,文章以深度学习的概述为出发点,探讨计算机网络的安全性,围绕深度学习下计算机网络安全技术进行相应研究。

Currently,computer networks have been widely popularized in multiple different industries in society,and have shown varying depths and levels of application in these industries.This large-scale application also presents the security issues faced by computer networks.Due to the fact that computers and the internet have become one of the key components in people’s lives and play an important role that cannot be ignored in social life and production,research on their network security technology is crucial.After the concept of deep learning was proposed and studied,using deep learning as a theoretical basis to strengthen computer network security technology has become one of the main directions for the development of computer network security technology at present.Therefore,this article takes the overview of deep learning as the starting point,explores computer network security,and conducts corresponding research around computer network security technology under deep learning.