Topical Shifts in the Dark Web: A Longitudinal Analysis of Content from the Cybercrime Ecosystem

Fuente: arXiv
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Autores principales: Ricaldi, Roy, Schafer, Maximilian, Zech, Philipp, Allodi, Luca, Groner, Raffaela, Pekaric, Irdin
Formato: Preprint
Publicado: 2026
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author Ricaldi, Roy
Schafer, Maximilian
Zech, Philipp
Allodi, Luca
Groner, Raffaela
Pekaric, Irdin
author_facet Ricaldi, Roy
Schafer, Maximilian
Zech, Philipp
Allodi, Luca
Groner, Raffaela
Pekaric, Irdin
contents The dark web hosts a dynamic ecosystem of cybercrime forums and marketplaces that adapt to law enforcement pressure, technological change, and economic incentives. Prior research has extracted cyber threat intelligence from these platforms using static snapshots, with limited attention to how discussions evolve over time. In this study, we conduct a longitudinal analysis of 25,065 websites in the dark web using 11,403,638 HTML snapshots (approximately 1245.38 GB) collected over six years. We develop a longitudinal topic-modeling framework combining domain-specific embeddings, density-based clustering and temporal aggregation to measure topic prevalence and lifecycle at the website level. Our analysis identifies 55 thematic clusters. We find that approximately 75% of total discussion volume is concentrated in a small set of persistent core topics, while short-lived themes account for approximately 3% of activity. The median topic lifespan is 75 months, indicating gradual thematic evolution rather than abrupt replacement.
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id arxiv_https___arxiv_org_abs_2605_15345
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Topical Shifts in the Dark Web: A Longitudinal Analysis of Content from the Cybercrime Ecosystem
Ricaldi, Roy
Schafer, Maximilian
Zech, Philipp
Allodi, Luca
Groner, Raffaela
Pekaric, Irdin
Cryptography and Security
The dark web hosts a dynamic ecosystem of cybercrime forums and marketplaces that adapt to law enforcement pressure, technological change, and economic incentives. Prior research has extracted cyber threat intelligence from these platforms using static snapshots, with limited attention to how discussions evolve over time. In this study, we conduct a longitudinal analysis of 25,065 websites in the dark web using 11,403,638 HTML snapshots (approximately 1245.38 GB) collected over six years. We develop a longitudinal topic-modeling framework combining domain-specific embeddings, density-based clustering and temporal aggregation to measure topic prevalence and lifecycle at the website level. Our analysis identifies 55 thematic clusters. We find that approximately 75% of total discussion volume is concentrated in a small set of persistent core topics, while short-lived themes account for approximately 3% of activity. The median topic lifespan is 75 months, indicating gradual thematic evolution rather than abrupt replacement.
title Topical Shifts in the Dark Web: A Longitudinal Analysis of Content from the Cybercrime Ecosystem
topic Cryptography and Security
url https://arxiv.org/abs/2605.15345