基于Deep Learning算法的漏洞扫描技术研究

On Vulnerability Scanning Technology Based on Deep Learning Algorithm

随着计算机软硬件技术的不断发展,大大推动深度学习技术的进一步发展。深度学习算法是一种基于神经网络技术,用于支持向量机技术的统计算法的代表方法,是计算机自发明以来的一次伟大的发展进步。当前,随着硬件的推动,深度学习算法能够实现更多的功能,借助于深度学习算法来探究其在漏洞扫描中的应用,对于推动计算机网络安全的发展有着极其重要的意义。

The continuous development of computer hardware and software technology greatly promotes the further development of deep learning technology.Deep learning algorithm is a representative method of statistical algorithm for support vector machine based on neural network technology.The algorithm is viewed the great development and progress of computer since its invention.At present,driven by the hardware,deep learning algorithm can perform more features.This paper explores the application of deep learning algorithm in vulnerability scanning,which has very important significance for promoting the development of computer network security.