The cyber world is plagued with ever-evolving malware that readily infiltrate all defense
mechanisms, operate viciously unbeknownst to the user, and surreptitiously exfiltrate …

When designing computer monitoring systems, one goal has always been to have a
complete view of the monitored target and at the same time stealthily protect the monitor …

The prevalence of mobile platforms, the large market share of Android, plus the openness of
the Android Market makes it a hot target for malware attacks. Once a malware sample has …

Machine learning techniques are widely used in addition to signatures and heuristics to
increase the detection rate of anti-malware software, as they automate the creation of …

Automated dynamic malware analysis systems are important in combating the proliferation
of modern malware. Unfortunately, malware can often easily detect and evade these …

Run-time packers are often used by malware-writers to obfuscate their code and hinder
static analysis. The packer problem has been widely studied, and several solutions have …

The amount of time in which a sample is executed is one of the key parameters of a malware
analysis sandbox. Setting the threshold too high hinders the scalability and reduces the …

Malware analysis aims to understand how malicious software carries out actions necessary
for a successful attack and identify the possible impacts of the attack. While there has been …

The CyBOK project would like to understand how the CyBOK is being used and its uptake.
The project would like organisations using, or intending to use, CyBOK for the purposes of …

Cybersecurity teams have widely used malware analysis sandboxes to investigate the threat
of malware. Correspondingly, armored malware adopts various anti-sandbox techniques to …