基于深度学习的网络安全预见路径研究

A study of the prediction path of cybersecurity based on deep learning

当前,我国正处在由网络大国向网络强国转变的关键时期,网络安全威胁不容小觑。以深度学习为代表的人工智能技术在网络安全领域的应用价值日益凸显,着眼基于深度学习的网络安全预见路径和价值趋向研究,能够从方法论层面有效提高抵御网络安全威胁的主动性和针对性,实现由"被动防御"向"主动预见"的网络安全战略升级转型。文章探讨相关概念内涵,提出"数据预判—技术预测—战略预见"的网络安全预见逻辑路径,并对深度学习技术在网络安全预见领域的应用前景进行探讨,从技术的融合渗透、开源共享、要素协同治理等方面阐释了网络安全预见的价值趋向,通过理论分析论证深度学习技术对提升网络安全预见力的重要作用。

At present, China is in a critical period of transition from a network power to a strong cyberpower, and the threat of cybersecurity should not be underestimated. The application of artificial intelligence technology represented by deep learning is becoming more and more important in the field of cybersecurity. To realize the upgrading and transformation of cybersecurity strategy from passive defense to proactive foresight, we should effectively improve the level of initiative against network security threats, and focus on the research of the cybersecurity foresight path and the value trend based on deep learning. This paper Explores the connotation of relevant concepts, proposes the ＂ Data anticipation--Technology prediction-- Strategic foresight＂ cybersecurity foresight path, and discusses the application of network security in the field of deep learning from the integration of technology penetration, open source sharing, elements of collaborative governance and other aspects of the interpretation of the value trend of cybersecurity foresight. Through a theoretical analysis, this paper proves the importance of deep learning in enhancing cybersecurity foresight.