In recent years, the growing frequency and intensity of Advanced Persistent Threats (APTs)
have significantly undermined the legitimacy and financial stability of government agencies …

Advanced Persistent Threats (APTs) are state-sponsored actors who break into computer
networks for political or industrial espionage. Because of the nature of cyberspace and ever …

This work explores how zero trust architectures can be modelled in order to assess and
improve network security. Cyber attacks are severely damaging and costly, and the …

Traditional defense methods can only evaluate a single security element and cannot
determine the threat of Advanced Persistent Threat (APT) according to multi-source data …

Model-based security metrics are an emerging topic of cyber security research that focuses
on assessing an information system's risk exposure. We propose an end-to-end solution …

With the boom in Internet and information technology, cyber-attacks are becoming more
frequent and sophisticated, especially Advanced Persistent Threat (APT) attacks. Unlike …

Since cyberattacks have become sophisticated in the form of advanced persistent threats
(APTs), predicting and defending the APT attacks have drawn lots of attention. Although …

ABSTRACT The Zero Trust approach is a cybersecurity preventive measure based on the
notion that nothing should be trusted within or near, or outside your network unless their …

In recent years, extensive research has been conducted in Advanced Persistent Threat
(APT) attack defence. However, most existing defence solutions can only identify and …

In this paper, it first analyzed the characteristics of Advanced Persistent Threat (APT).
according to APT attack, this paper established an BP neural network optimized by improved …