Today, the Internet security community largely emphasizes cyberspace monitoring for the
purpose of generating cyber intelligence. In this paper, we present a survey on darknet. The …

Trillions of network packets are sent over the Internet to destinations which do not exist. This
'darknet'traffic captures the activity of botnets and other malicious campaigns aiming to …

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 …

Global darknet monitoring provides an effective way to observe cyber-attacks that are
significantly threatening network security and management. In this paper, we present a study …

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 …

5G networks with the vast number of devices pose security threats. Manual analysis of such
extensive security data is complex. Dark-NMF can detect malware activities by monitoring …

The growing cyber-threats from botnets compel us to devise proper countermeasures to
detect infected hosts in an efficient and timely manner. In this paper, botnet-host …

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 …

Darknet monitoring provides us an effective way to countermeasure cyber attacks that pose
a significant threat to network security and management. This paper aims to characterize the …