Autor según el artículo: De Domenico, M.; Arenas, A.
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: DE DOMENICO ., MANLIO; ARENAS MORENO, ALEJANDRO
Palabras clave: Small-world networks Across time Topology
Resumen: 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.
Grupo de investigación: Algorithms embedded in Physical Systems
Áreas temáticas: Enginyeria informàtica Ingeniería informática Computer engineering
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1539-3755
Identificador del autor: 0000-0001-5158-8594; 0000-0003-0937-0334
Fecha de alta del registro: 2017-03-15
Volumen de revista: 95
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.022313
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1103/PhysRevE.95.022313
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2017
Página inicial: Art.num. 022313
Tipo de publicación: Article Artículo Article