The rapid evolution of the Smart-everything movement and Artificial Intelligence (AI)
advancements have given rise to sophisticated cyber threats that traditional methods cannot …

Due to its critical role in cybersecurity, digital forensics has received significant attention from
researchers and practitioners alike. The ever increasing sophistication of modern …

As the malware research field became more established over the last two decades, new
research questions arose, such as how to make malware research reproducible, how to …

APT attacks have posed serious threats to the security of cyberspace nowadays which are
usually tailored for specific targets. Identification and understanding of APT attacks remains …

Antiviruses (AVs) are computing-intensive applications that rely on constant monitoring of
OS events and on applying pattern matching procedures on binaries to detect malware. In …

With the widespread use of Internet of Things (IoT) devices, malware detection has become
a hot spot for both academic and industrial communities. Existing approaches can be …

Traditional network attack and hacking models are constantly evolving to keep pace with the
rapid development of network technology. Advanced persistent threat (APT), usually …

AntiViruses (AVs) are the main defense line against attacks for most users and much
research has been done about them, especially proposing new detection procedures that …

Machine Learning (ML) has been widely applied to cybersecurity and is considered state-of-
the-art for solving many of the open issues in that field. However, it is very difficult to evaluate …

We review practical advice on decision-making during computer security incident response.
Scope includes standards from the IETF, ISO, FIRST, and the US intelligence community. To …