The previous chapters explored cybercriminal activities associated with computer intrusion
and manipulation, which are generally labelled as hacking. This chapter critically explores …

One of the major challenges faced by the Internet in the present day is to deal with achieving
web security from ever-rising diverse types of threats. Machine learning algorithms offer …

Longitudinal criminological studies greatly improved our understanding of the longitudinal
patterns of criminality. These studies, however, focused almost exclusively on traditional …

Abstract Researchers in Natural Language Processing (NLP) and recommendation systems
typically train machine learning models on large corpora. In many cases, the corpus is …

This volume highlights the central role of the human factor in cybercrime and the need to
develop a more interdisciplinary research agenda to understand better the constant …

While cyberattacks are a persistent problem, particularly web defacements, it is unclear what
factors differentiate the likelihood of these attacks based on the type of institution that could …

There has been substantial commentary on the role of cyberattacks and civilian hacktivists in
the Russia-Ukraine conflict. Drawing on a range of data sources, we argue that the widely …

There has been substantial commentary on the role of cyberattacks carried out by low-level
cybercrime actors in the Russia-Ukraine conflict. We analyse 358k website defacement …

Website defacement is an illegal electronic act of changing a website. In this paper, robust
machine learning classifiers' capabilities were exploited to select the best input feature set …

Web defacement refers to the unauthorized alteration of the appearance or content of a
website, which can have detrimental effects on its operations and financial standing. Deep …