A Review of APT Attack Detection Methods and Defense Strategies
Kai Xing, Aiping Li, Rong Jiang, Yan Jia
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.