A Review of APT Attack Detection Methods and Defense Strategies

Kai Xing, Aiping Li, Rong Jiang, Yan Jia
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引用次数: 6

Abstract

Cyberspace has been threatened by attacks ever since its birth. With the development of the Internet and artificial intelligence, forms of cyberattacks are emerging in endlessly, and technical means are constantly being renovated. In particular, advanced persistent threats are intensifying. How to effectively prevent this type of attack has become the focus, and attack detection and defense technology has made great progress. This article mainly discusses the research progress of APT attack detection and defense strategies at home and abroad, and focuses on the practice of using machine learning to perform attack detection while elaborating on traditional attack detection methods. Defense strategy is about how to use game theory to find the best defense strategy in limited resources, dynamic information flow tracking and cloud platform.
APT攻击检测方法及防御策略综述
网络空间自诞生以来一直受到攻击的威胁。随着互联网和人工智能的发展,网络攻击的形式层出不穷,技术手段不断更新。特别是,先进的持续性威胁正在加剧。如何有效防范这类攻击成为人们关注的焦点,攻击检测与防御技术也取得了很大的进步。本文主要讨论了国内外APT攻击检测和防御策略的研究进展,在阐述传统攻击检测方法的同时,重点介绍了利用机器学习进行攻击检测的实践。防御策略是在有限的资源、动态的信息流跟踪和云平台下,如何运用博弈论找到最佳的防御策略。
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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