Transfer learning provides an effective solution for feasibly and fast customize accurate
Student models, by transferring the learned knowledge of pre-trained Teacher models over …

Modern cyber attacks consist of a series of steps and are generally part of larger campaigns.
Large-scale field data provides a quantitative measurement of these campaigns. On the …

Despite the fact that cyberattacks are constantly growing in complexity, the research
community still lacks effective tools to easily monitor and understand them. In particular …

Both the operational and academic security communities have used dynamic analysis
sandboxes to execute malware samples for roughly a decade. Network information derived …

Cyber threat hunting is the process of proactively and iteratively formulating and validating
threat hypotheses based on security-relevant observations and domain knowledge. To …

Digitally signed malware can bypass system protection mechanisms that install or launch
only programs with valid signatures. It can also evade anti-virus programs, which often …

Indicators of Compromise (IOCs) are artifacts observed on a network or in an operating
system that can be utilized to indicate a computer intrusion and detect cyber-attacks in an …

Indicators of Compromise (IOCs) are artifacts observed on a network or in an operating
system that can be utilized to indicate a computer intrusion and detect cyber-attacks in an …

With the increasing variants of malware, it is of great significance to detect malware and
ensure system security effectively. The existing malware dynamic detection methods are …

A cyber kill chain is a traditional model to analyze cyber security threats, whether there is a
malware inside a computer system, covert and illegitimate channels found on a network, or …