Worm Propagation Modeling Considering Smartphones Heterogeneity and People Mobility

DOI

10.2991/amms-17.2017.34How to use a DOI?

Keywords

component; cellular automata; complex systems modelling; bluetooth networks

Abstract

In recent years, the worldwide market for smartphones has grown dramatically. The kind of information stored in these devices makes them an attractive target for malware writers. Consequently, modeling of worm propagation in smartphones in order to predict the side effects of a new threat and understand the complex behavior of the modeled malware has received significant attention. One of the possible mechanisms for malware spreading are Bluetooth antennas, where the malware infects devices in its proximity as biological viruses do. Due to this strong similarity in the behaviors of self-replicating and propagation between mobile malware and biological viruses, most investigations of malware propagation in smartphones focus predominately on modeling its propagation dynamics by employing the classical epidemic theories in epidemiology. Cellular Automata (CA) models have emerged recently as a promising alternative to characterize worm propagation and understand its behavior. However, in the most of the existing CA models for mobile malware, it is assumed that all smartphones are homogeneous and that transmission time of the worm is one time cycle. In this work, a mathematical model to study the spatio-temporal propagation dynamics of Bluetooth worms based on CA and the compartmental epidemiological models is introduced. The model considers the local interactions between the smartphones and is able to simulate the individual dynamic of each device and the effect of mobility of their users on the infection propagation.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gabriel González García
AU  - María Elena Lárraga Ramírez
AU  - Luis Alvarez-Icaza
PY  - 2017/11
DA  - 2017/11
TI  - Worm Propagation Modeling Considering Smartphones Heterogeneity and People Mobility
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 147
EP  - 152
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.34
DO  - 10.2991/amms-17.2017.34
ID  - García2017/11
ER  -