Influence blocking maximization on networks: Models, methods and applications

BL Chen, WX Jiang, YX Chen, L Chen, RJ Wang… - Physics Reports, 2022 - Elsevier
Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …

SEI2RS malware propagation model considering two infection rates in cyber–physical systems

Z Yu, H Gao, D Wang, AA Alnuaim, M Firdausi… - Physica A: Statistical …, 2022 - Elsevier
Cyber–physical systems (CPSs) are new types of intelligent systems that integrate
computing, control, and communication technologies, and bridge cyberspace and physical …

[HTML][HTML] The impact of patch forwarding on the prevalence of computer virus: a theoretical assessment approach

LX Yang, X Yang, Y Wu - Applied Mathematical Modelling, 2017 - Elsevier
Virus patches can be disseminated rapidly through computer networks and take effect as
soon as they have been installed, which significantly enhances their virus-containing …

[HTML][HTML] Predicting spread probability of learning-effect computer virus

WC Yeh, E Lin, CL Huang - Complexity, 2021 - hindawi.com
With the rapid development of network technology, computer viruses have developed at a
fast pace. The threat of computer viruses persists because of the constant demand for …

Modeling the virus dynamics in computer network with SVEIR model and nonlinear incident rate

RK Upadhyay, S Kumari, AK Misra - Journal of Applied Mathematics and …, 2017 - Springer
In this paper, an e-epidemic Susceptible–Vaccinated–Exposed–Infectious–Recovered
(SVEIR) model is formulated for the treatment of infective nodes considering the …

An epidemic model of computer viruses with vaccination and generalized nonlinear incidence rate

C Gan, X Yang, W Liu, Q Zhu, X Zhang - Applied Mathematics and …, 2013 - Elsevier
This paper aims to explore the influence of vaccination on the diffusion of computer viruses
under more reasonable assumptions. By incorporating a vaccination probability in the SIRS …

Comparative analysis on fractional optimal control of an SLBS model

BBİ Eroğlu, D Yapışkan - Journal of Computational and Applied …, 2023 - Elsevier
In this article, we examine the fractional optimal control strategy of computer virus
propagation in a heterogeneous network. For this purpose, we first generalize an available …

[PDF][PDF] Differential equation models for infectious diseases: Mathematical modeling, qualitative analysis, numerical methods and applications

MT Hoang, M Ehrhardt - 2024 - imacm.uni-wuppertal.de
Mathematical epidemiology has a long history of origin and development. In particular,
mathematical modeling and analysis of infectious diseases has become a fundamental and …

Dynamics of epidemic computer virus spreading model with delays

V MadhuSudanan, R Geetha - Wireless Personal Communications, 2020 - Springer
The vulnerability that exists in the computer network by the infection of virus as soon as the
resources are exposed requires the study of the nature of propagation of virus into the …

Heterogeneous virus propagation in networks: a theoretical study

L Yang, M Draief, X Yang - Mathematical Methods in the …, 2017 - Wiley Online Library
The node‐based epidemic modeling is an effective approach to the understanding of the
impact of the structure of the propagation network on the epidemics of electronic virus. In …