Publication: Identifying critical nodes in multi-layered networks under multi-vector malware attack
Loading...
Identifiers
Publication date
2013
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Interlude
Impact
Export
Abstract
Computer viruses are evolving by developing multiple spreading mechanisms that are simultaneously used during the infection process. The identification of the nodes that allow a better spreading efficiency of these kind of viruses is becoming a determinant part of the defensive strategy against malware. These multi-vector viruses can be modeled in multi-layered networks in which each node belongs simultaneously to different layers, adapting the spreading vector to the properties of the layer. This way, the same virus has different propagation rates in each layer and also in the multi-layered network considered as a whole. The set of nodes selected as initial group of infected subjects can determine the final propagation of the infection. In this work, we analyze the spreading of a virus in a multi-layered network formed by M layers, given different sets of initial infected nodes, and, in particular, the effect of the initial selection on the efficiency of the infection. The initial group of infected nodes is selected according to properties of the nodes considered as part of a layer and also of the whole system. As an example, we apply this study to a multi-layered network formed by two layers: the social network of collaboration of the Spanish scientific community of Statistical Physics, and the telecommunication network of each institution.
Description
This proceeding at: Net-Works 2013 International Conference. Complex and Multiplex Networks: Structure, Applications and Related Topic, took place 2013, February, 11-13, in El Escorial (Spain).
Keywords
Multi-layered networks, Spreading models
Bibliographic citation
International Journal Complex Systems in Science 3 (2013) pp. 97-105