Malware propagation in large-scale networks
Data(s) |
01/01/2015
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Resumo |
Malware is pervasive in networks, and poses a critical threat to network security. However, we have very limited understanding of malware behavior in networks to date. In this paper, we investigate how malware propagates in networks from a global perspective. We formulate the problem, and establish a rigorous two layer epidemic model for malware propagation from network to network. Based on the proposed model, our analysis indicates that the distribution of a given malware follows exponential distribution, power law distribution with a short exponential tail, and power law distribution at its early, late and final stages, respectively. Extensive experiments have been performed through two real-world global scale malware data sets, and the results confirm our theoretical findings. |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30077295/yu-malwarepropagationin-2015.pdf http://www.dx.doi.org/10.1109/TKDE.2014.2320725 |
Direitos |
2015, IEEE |
Palavras-Chave | #Science & Technology #Technology #Computer Science, Artificial Intelligence #Computer Science, Information Systems #Engineering, Electrical & Electronic #Computer Science #Engineering #Malware #propagation #modelling #power law #WORMS #CONTAINMENT |
Tipo |
Journal Article |