An Overview of Advanced Persistent Threat Detection Based on Machine Learning

Kai Xing, Aiping Li, Rong Jiang

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.

Keywords


advanced persistent threat (APT), machine learning, cyber-kill-chain


DOI
10.12783/dtetr/mcaee2020/35023

Refbacks

  • There are currently no refbacks.