The internet can be broadly divided into three parts: surface, deep and dark. The dark web
has become notorious in the media for being a hidden part of the web where all manner of …

The Dark Web, a conglomerate of services hidden from search engines and regular users, is
used by cyber criminals to offer all kinds of illegal services and goods. Multiple Dark Web …

In recent years, the Darknet has become one of the most discussed topics in cyber security
circles. Current academic studies and media reports tend to highlight how the anonymous …

Dark Web is one of the most challenging and untraceable mediums adopted by the cyber
criminals, terrorists, and state-sponsored spies to fulfil their illicit motives. Cyber-crimes …

In this book chapter, we demonstrated that the botnet scan traffic can be very useful in terms
of inferring the general properties of the botnets. We developed a general paradigm for …

Scanning of hosts on the Internet to identify vulnerable devices and services is a key
component in many of today's cyberattacks. Tracking this scanning activity, in turn, provides …

This work proposes a novel approach to infer and characterize Internet-scale DNS
Distributed Reflection Denial of Service (DRDoS) attacks by leveraging the darknet space …

The anonymous nature of darknets is commonly exploited for illegal activities. Previous
research has employed machine learning and deep learning techniques to automate the …

Botnets dominate today's attack landscape. In this work, we investigate ways to analyze
collections of malicious probing traffic in order to understand the significance of large-scale …

Effective network security administration depends to a great extent on having accurate,
concise, high-quality information about malicious activity in one's network. Honeynets can …