Electron. J. Differential Equations, Vol. 2026 (2026), No. 69, pp. 1-24.

Dynamical analysis of a three-community model for malware transmission

Ziheng Cheng, Hanqing Hu, Teng Ma, Huangjie Zheng

Abstract:
Malware transmission remains a serious threat to computer networks, particularly in heterogeneous environments. We propose a three community SIP model (Susceptible-Infected-Protected) that includes both intra and intercommunity transmissions. The basic reproduction number \(\mathcal{R}_0 \) is derived using the next-generation matrix method and serves as the threshold between extinction and persistence of malware. Analysis shows that the malware-free equilibrium is globally stable when \(\mathcal{R}_0 < 1\), while an endemic equilibrium exists and remains stable when \(\mathcal{R}_0 >1\). Numerical results support the theory and highlight that stronger protection and limited cross-community connections can effectively suppress malware spread.

Submitted

Submitted Mach 25, 2026. Published September 10, 2026.
Math Subject Classifications: 34D20, 65L07, 92D30.
Key Words: Malware transmission; susceptible-infected-protected model; reproduction number.
DOI: 10.58997/ejde.2026.69

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Ziheng Cheng
School of Mathematical Sciences
Shanghai Jiao Tong University
Shanghai 200240, China
email: harryczh@sjtu.edu.cn
Hanqing Hu
School of Mathematical Sciences
Shanghai Jiao Tong University
Shanghai 200240, China
email: hhqhaha666@sjtu.edu.cn
Teng Ma
School of Mathematical Sciences
Shanghai Jiao Tong University
Shanghai 200240, China
email: dlutecnu@sjtu.edu.cn
Huangjie Zheng
School of Mathematical Sciences
Shanghai Jiao Tong University
Shanghai 200240, China
email: huangjie7796@sjtu.edu.cn

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