Recent trends in targeted cyber-attacks has increased the interest of research in the field of
cyber security. Such attacks have massive disruptive effects on organizations, enterprises …

The use of TLS by malware poses new challenges to network threat detection because
traditional pattern-matching techniques can no longer be applied to its messages. However …

Blacklists are commonly used to protect computer systems against the tremendous number
of malware threats. These lists include abusive hosts such as malware sites or botnet …

Abstract Domain Name System (DNS) traffic has become a rich source of information from a
security perspective. However, the volume of DNS traffic has been skyrocketing, such that …

This new volume, Information Security Management Systems: A Novel Framework and
Software as a Tool for Compliance with Information Security Standard, looks at information …

In order to counter cyber-attacks and digital threats, security experts must generate, share,
and exploit cyber-threat intelligence generated from malware. In this research, we address …

The Internet of Things (IoT) concept has been widely adopted and Internet connected
devices enter more and more areas of our everyday lives. However, their limited security …

The detection and anti-detection of social botnets constitute an arms race that enables social
botnets to evolve quickly. Existing host-side detection approaches cannot easily detect every …

Abstract. Botmasters increasingly encrypt command-and-control (C&C) communication to
evade existing intrusion detection systems. Our detailed C&C traffic analysis shows that at …

Traditional signature-based intrusion detection systems inspect packet headers and
payloads to report any malicious or abnormal traffic behavior that is observed in the network …