Autor segons l'article: De Domenico, M.; Arenas, A.
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: DE DOMENICO ., MANLIO; ARENAS MORENO, ALEJANDRO
Paraules clau: Small-world networks Across time Topology
Resum: While the statistical and resilience properties of the Internet are no longer changing significantly across time, the Darknet, a network devoted to keep anonymous its traffic, still experiences rapid changes to improve the security of its users. Here we study the structure of the Darknet and find that its topology is rather peculiar, being characterized by a nonhomogeneous distribution of connections, typical of scale-free networks; very short path lengths and high clustering, typical of small-world networks; and lack of a core of highly connected nodes. We propose a model to reproduce such features, demonstrating that the mechanisms used to improve cybersecurity are responsible for the observed topology. Unexpectedly, we reveal that its peculiar structure makes the Darknet much more resilient than the Internet (used as a benchmark for comparison at a descriptive level) to random failures, targeted attacks, and cascade failures, as a result of adaptive changes in response to the attempts of dismantling the network across time.
Grup de recerca: Algorithms embedded in Physical Systems
Àrees temàtiques: Enginyeria informàtica Ingeniería informática Computer engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1539-3755
Identificador de l'autor: 0000-0001-5158-8594; 0000-0003-0937-0334
Data d'alta del registre: 2017-03-15
Volum de revista: 95
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.022313
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1103/PhysRevE.95.022313
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2017
Pàgina inicial: Art.num. 022313
Tipus de publicació: Article Artículo Article
Repositori URV