Epidemiological Models Applied to Viruses in Computer Networks
TLDR
The basal virus reproduction rate gives some theoretical hints about how to avoid infections in a computer network as a function of time.Abstract:
To investigate the use of classical epidemiological models for studying computer virus propagation we described analogies between computer and population disease propagation using SIR (Susceptible-Infected-Removed) epidemiological models. By modifying these models with the introduction of anti-viral individuals we analyzed the stability of the disease free equilibrium points. Consequently, the basal virus reproduction rate gives some theoretical hints about how to avoid infections in a computer network. Numerical simulations show the dynamics of the process for several parameter values giving the number of infected machines as a function of time.read more
Citations
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Journal ArticleDOI
A modified epidemiological model for computer viruses
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SEIQRS model for the transmission of malicious objects in computer network
Bimal Kumar Mishra,Navnit Jha +1 more
TL;DR: A model for the transmission of malicious objects in computer network and the effect of quarantine on recovered nodes is analyzed and the behavior of the susceptible, exposed, infected, quarantine, and recovered nodes in the computer network is analyzed.
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Dynamic model of worms with vertical transmission in computer network
TL;DR: An e-epidemic SEIRS model for the transmission of worms in computer network through vertical transmission is formulated and the behavior of the susceptible, exposed, infected and recovered nodes in the computer network with real parametric values is analyzed.
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Network virus-epidemic model with the point-to-group information propagation
Hua Yuan,Guoqing Chen +1 more
TL;DR: The simulation results show that the proposed e-SEIR model can serve as a basis for understanding and simulating virus epidemics in network and how to control the network computer virus prevalence based on the equilibrium stability.
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Mathematical model on the transmission of worms in wireless sensor network
Bimal Kumar Mishra,Neha Keshri +1 more
TL;DR: This paper proposes susceptible – exposed – infectious – recovered – susceptible with a vaccination compartment (SEIRS-V) to describe the dynamics of worm propagation with respect to time in WSN and proposes a compartmental epidemic model.
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