An Overview of Advanced Persistent Threat Detection Based on Machine Learning

Kai Xing, Aiping Li, Rong Jiang
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引用次数: 1

Abstract

Abstract. Cyberspace has been constantly threatened by attacks since its birth. With the development of high-tech and artificial intelligence, intelligent and efficient attack methods have emerged endlessly, and technological methods have been constantly renovated. In particular, Advanced Persistent Threat (APT) attacks are intensifying. How to effectively prevent this attack method has become the focus. With the advantages of machine learning, the thinking and technology of detection have made great progress. This article mainly discusses several innovative methods for detecting APT attacks based on machine learning, and looks forward to the future development direction.
基于机器学习的高级持续威胁检测综述
摘要网络空间自诞生以来就不断受到攻击的威胁。随着高科技和人工智能的发展,智能高效的攻击手段层出不穷,技术手段也在不断革新。特别是,高级持续性威胁(APT)攻击正在加剧。如何有效防范这种攻击方式成为人们关注的焦点。随着机器学习的优势,检测的思维和技术都有了很大的进步。本文主要讨论了基于机器学习的几种检测APT攻击的创新方法,并展望了未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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