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 …

[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 …

A numerical study based on haar wavelet collocation methods of fractional-order antidotal computer virus model

R Zarin, H Khaliq, A Khan, I Ahmed, UW Humphries - Symmetry, 2023 - mdpi.com
Computer networks can be alerted to possible viruses by using kill signals, which reduces
the risk of virus spreading. To analyze the effect of kill signal nodes on virus propagation, we …

Investigating the impact of memory effects on computer virus population dynamics: A fractal–fractional approach with numerical analysis

İ Avcı, A Hussain, T Kanwal - Chaos, Solitons & Fractals, 2023 - Elsevier
In this study, we investigate the impact of memory effects through the application of the
fractal–fractional derivative operator on population dynamics in computer viruses. By …

[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 …

Predicting Spread Probability of Learning‐Effect Computer Virus

WC Yeh, E Lin, CL Huang - Complexity, 2021 - Wiley Online Library
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 …

Dynamical analysis of fractional order model for computer virus propagation with kill signals

N Özdemir, S Uçar… - International Journal of …, 2020 - degruyter.com
The kill signals are alert about possible viruses that infect computer network to decrease the
danger of virus propagation. In this work, we focus on a fractional-order SEIR-KS model in …