The current study employs group-based trajectory modeling to assess the longitudinal attack
patterns of new hackers involved in website defacement. Specifically, we track the activity of …

Cybercrime forum datasets are large and complex. Prior research uses aggregated time
series data to create a picture of the whole dataset, or focuses on a smaller sample of cross …

This paper presents a comprehensive investigation into the efficacy of machine learning
algorithms, leveraging Word2Vec, TF-IDF, and GloVe embeddings for cyber threat detection …

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 …

There is a growing interest in using mathematical models to understand crime dynamics,
crime prevention, and detection. The past decade has experienced a relative reduction in …

[EN] This thesis presents a new framework called the" Dynamic Urban Crowd and Social
Interaction Model (DUCSIM)," which is aimed at calculating crowd density and deciphering …

The rapid development of the internet has far outpaced our ability to protect the internet. As
new technologies have developed, so have new ways to exploit these technologies to use …

Kyberterrorismi on usein tunnistettu uhka, mutta siltä puuttuu yhteisesti hyväksytty ja eri
toimijoiden jakama määritelmä. Tämä jo pitkään tiedostettu problematiikka haastaa sekä …