2011 | OriginalPaper | Buchkapitel
Selective Attack in Virus Propagation Processes
verfasst von : Miroslav Mirchev, Igor Mishkovski, Ljupco Kocarev
Erschienen in: ICT Innovations 2010
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Computer viruses are still one of the main security threats in the Internet. For virus outbreaks prevention, we need to fully understand their spreading dynamics and how it can be affected. Many viruses include inter-human contacts in their spreading and observations have shown that these inter-contact times are often heavy-tail distributed. The contacts between humans form a logical network over which viruses spread and the topology of this network plays important role in the spreading dynamics. The rapidity of spreading also depends on the location of initially infected nodes in the network. By selectively infecting the most influential nodes in the network the virus outbreak can grow faster. We analyze this effect for networks with different topologies, by using nodes selection based on several node centrality measures and the k-medoids graph clustering algorithm.