We collect and analyze the darkweb (a.k.a. the ``onionweb'') hyperlink graph. We find properties highly dissimilar to the well-studied world wide web hyperlink graph; for example, our analysis finds that >87% of darkweb sites never. link to another site. We propose a simple network growth model that reasonably captures the data, and compare our results to prior work on world-wide-web and speculate about reasons for their differences. We conclude that in the term ``darkweb'', the word ``web'' is a connectivity misnomer. Instead, it is more accurate to view the darkweb as a set of largely isolated dark silos.

Graph theoretic properties of the Dark Web

P Santi;
2020

Abstract

We collect and analyze the darkweb (a.k.a. the ``onionweb'') hyperlink graph. We find properties highly dissimilar to the well-studied world wide web hyperlink graph; for example, our analysis finds that >87% of darkweb sites never. link to another site. We propose a simple network growth model that reasonably captures the data, and compare our results to prior work on world-wide-web and speculate about reasons for their differences. We conclude that in the term ``darkweb'', the word ``web'' is a connectivity misnomer. Instead, it is more accurate to view the darkweb as a set of largely isolated dark silos.
2020
Istituto di informatica e telematica - IIT
Network analysis
clustering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/390356
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