Deterministic epidemic modeling of future botnet malware with a contact process
Author:
Affiliation:
1. Faculty of Engineering Science, Kansai University
2. Faculty of Sciene and Engineering, Doshisha University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/10/6/10_2021XBL0036/_pdf
Reference8 articles.
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3. [3] A. Cani, M. Gaudesi, E. Sanchez, G. Squillero, and A. Tonda, “Towards automated malware creation: code generation and code integration,” Proc. Symposium on Applied Computing, Gyeongju, Korea, March 2014. DOI: 10.1145/2554850.2555157
4. [4] T. Kudo, T. Kimura, Y. Inoue, H. Aman, and K. Hirata, “Stochastic modeling of self-evolving botnets with vulnerability discovery,” Computer Communications, vol. 124, pp. 101-110, 2018. DOI: 10.1016/j.comcom.2018.04.010
5. [5] A. Dadlani, M.S. Kumar, S. Murugan, and K. Kim, “System dynamics of a refined epidemic model for infection propagation over complex networks,” IEEE Syst. J., vol. 10, no. 4, pp. 1316-1325, 2016. DOI: 10.1109/jsyst.2014.2324751
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