As cyberattacks become increasingly prevalent globally, there is a need to identify trends in
these cyberattacks and take suitable countermeasures quickly. The darknet, an unused IP …

With the rapid evolution and increase of cyberthreats in recent years, it is necessary to detect
and understand it promptly and precisely to reduce the impact of cyberthreats. A darknet …

Malware is increasingly diversified and sophisti-cated. It is essential to rapidly and
accurately detect malware activities when malware infection spreads. However, accurately …

Recent malware evolutions have rendered cyberspace less secure, and we are currently
witnessing an increasing number of severe security incidents. To minimize the impact of …

With the ever-growing occurrence of networking attacks, robust network security systems are
essential to prevent and mitigate their harming effects. In recent years, machine learning …

With the proliferation of Internet of Things (IoT), the damage brought by cyber-attacks
abusing the resources of malware-infected IoT devices is becoming more serious. Darknet …

Since a darknet is a set of unused IP addresses (ie, no real hosts are operated with them),
we are unable to observe the network traffic on it generally. In many cases, however …

Considering rapid increase of recent highly organized and sophisticated malwares, practical
solutions for the countermeasures against malwares especially related to zero-day attacks …

This paper presents a new approach to infer worldwide malware-infected machines by
solely analyzing their generated probing activities. In contrary to other adopted methods, the …

This paper presents a machine learning approach to large-scale monitoring for malicious
activities on Internet. In the proposed system, network packets sent from a subnet to a …