Determining the important parameters of mathematical models of the propagation of malware
Proceedings of the 3rd International Symposium of Information and Internet …, 2019•Springer
This paper presents three mathematical models of the dynamics of the propagation of
malware on a computer network and performs a global sensitivity analysis to determine the
most influential parameters of the models. We found that the natural death rate which is the
crashing of nodes due to other reasons than the attack of malicious objects is one of the
influential parameters for the three mathematical models. Furthermore, the recruitment rate
of susceptible nodes to the computer network, the transmission rate and the fraction of new …
malware on a computer network and performs a global sensitivity analysis to determine the
most influential parameters of the models. We found that the natural death rate which is the
crashing of nodes due to other reasons than the attack of malicious objects is one of the
influential parameters for the three mathematical models. Furthermore, the recruitment rate
of susceptible nodes to the computer network, the transmission rate and the fraction of new …
Abstract
This paper presents three mathematical models of the dynamics of the propagation of malware on a computer network and performs a global sensitivity analysis to determine the most influential parameters of the models. We found that the natural death rate which is the crashing of nodes due to other reasons than the attack of malicious objects is one of the influential parameters for the three mathematical models. Furthermore, the recruitment rate of susceptible nodes to the computer network, the transmission rate and the fraction of new nodes from the exposed class are the influential parameters of the model. The results suggest that the use of an effective antiviral software is required to minimize the risk of the attack of malicious objects.
Springer