Vulnerability of state-interdependent networks under malware spreading

被引:12
|
作者
Vida, Rafael [1 ,2 ]
Galeano, Javier [3 ,4 ]
Cuenda, Sara [2 ,5 ]
机构
[1] Univ Pontifica Comillas, Escuela Tecn Super Ingn ICAI, Dept Sistemas Informat, Madrid 28015, Spain
[2] Grp Interdisciplinar Sistemas Complejos, Getafe, Spain
[3] Univ Politecn Madrid, Dept Ciencia Tecnol Aplicadas IT Agr, EUIT Agr, E-28040 Madrid, Spain
[4] Complex Syst Grp GSC, Caravaca, Spain
[5] Univ Autonoma Madrid, Dept Econ Cuantitat, Canto Blanco 28049, Madrid, Spain
关键词
Networks; Multiplex networks; Interdependent networks; Markov processes; Contagion spreading; Percolation; INFLUENTIAL SPREADERS; IDENTIFICATION;
D O I
10.1016/j.physa.2014.11.029
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Computer viruses are evolving by developing spreading mechanisms based on the use of multiple vectors of propagation. The use of the social network as an extra vector of attack to penetrate the security measures in IP networks is improving the effectiveness of malware, and have therefore been used by the most aggressive viruses, like Conficker and Stuxnet. In this work we use interdependent networks to model the propagation of these kind of viruses. In particular, we study the propagation of a SIS model on interdependent networks where the state of each node is layer-independent and the dynamics in each network follows either a contact process or a reactive process, with different propagation rates. We apply this study to the case of existing interdependent networks, namely a Spanish scientific community of Statistical Physics, formed by a social network of scientific collaborations and a physical network of connected computers in each institution. We show that the interplay between layers increases dramatically the infectivity of viruses in the long term and their robustness against immunization. (C) 2014 Elsevier By. All rights reserved.
引用
收藏
页码:134 / 140
页数:7
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