An Ising Model Approach to Malware Epidemiology
Computational Physics
2010-07-29 v1
Abstract
We introduce an Ising approach to study the spread of malware. The Ising spins up and down are used to represent two states--online and offline--of the nodes in the network. Malware is allowed to propagate amongst online nodes and the rate of propagation was found to increase with data traffic. For a more efficient network, the spread of infection is much slower; while for a congested network, infection spreads quickly.
Cite
@article{arxiv.1007.4938,
title = {An Ising Model Approach to Malware Epidemiology},
author = {K. E. S. Antonio and C. M. N. Pinol and R. S. Banzon},
journal= {arXiv preprint arXiv:1007.4938},
year = {2010}
}