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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 623436, 10 pages
Research Article

Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection

1Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, 46022 Valencia, Spain
2Departamento de Estadstica e Investigación Operativa, Universitat de València, 46100 Valencia, Spain

Received 2 August 2014; Accepted 22 September 2014; Published 28 October 2014

Academic Editor: Jinde Cao

Copyright © 2014 Juan Alegre-Sanahuja et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the last years the number of malware Apps that the users download to their devices has risen. In this paper, we propose an agent-based model to quantify the Android malware infection evolution, modeling the behavior of the users and the different markets where the users may download Apps. The model predicts the number of infected smartphones depending on the type of malware. Additionally, we will estimate the cost that the users should afford when the malware is in their devices. We will be able to analyze which part is more critical: the users, giving indiscriminate permissions to the Apps or not protecting their devices with antivirus software, or the Android platform, due to the vulnerabilities of the Android devices that permit their rooted. We focus on the community of Valencia, Spain, although the obtained results can be extrapolated to other places where the number of Android smartphones remains fairly stable.