Malware Propagation in Large-Scale Networks
- Additional Document Info
- View All
2014 IEEE. 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.
IEEE Transactions on Knowledge and Data Engineering
author list (cited authors)
Yu, S., Gu, G., Barnawi, A., Guo, S., & Stojmenovic, I.
complete list of authors
Yu, Shui||Gu, Guofei||Barnawi, Ahmed||Guo, Song||Stojmenovic, Ivan