计算机网络技术毕业论文

题目：基于深度学习的网络安全技术研究

摘要：随着互联网的快速发展，网络安全问题日益成为社会关注的焦点。传统的网络安全技术已经不能满足日益增长的网络安全需求。因此，本文提出了基于深度学习的网络安全技术来解决网络安全问题。首先，介绍了深度学习的基本概念和原理。然后，探讨了深度学习在网络安全领域的应用，包括入侵检测、恶意代码检测、垃圾邮件过滤等。最后，进行了实验验证，证明了基于深度学习的网络安全技术在网络安全领域的有效性和可行性。

关键词：网络安全，深度学习，入侵检测，恶意代码检测，垃圾邮件过滤

Abstract: With the rapid development of the Internet, network security issues have become a focus of social concern. Traditional network security technologies can no longer meet the growing network security needs. Therefore, this paper proposes a network security technology based on deep learning to solve network security issues. First, the basic concepts and principles of deep learning are introduced. Then, the application of deep learning in network security is discussed, including intrusion detection, malware detection, spam filtering, etc. Finally, experimental verification is carried out to prove the effectiveness and feasibility of the deep learning-based network security technology in the field of network security.

Keywords: Network security, deep learning, intrusion detection, malware detection, spam filterin