Abstract and Applied Analysis

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

Juan Alegre-Sanahuja, Javier Camacho, Juan Carlos Cortés López, Francisco-José Santonja, and Rafael Jacinto Villanueva Micó

Full-text: Access denied (no subscription detected)

We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber. If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text


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.

Article information

Abstr. Appl. Anal., Volume 2014 (2014), Article ID 623436, 10 pages.

First available in Project Euclid: 27 February 2015

Permanent link to this document

Digital Object Identifier

Zentralblatt MATH identifier


Alegre-Sanahuja, Juan; Camacho, Javier; Cortés López, Juan Carlos; Santonja, Francisco-José; Villanueva Micó, Rafael Jacinto. Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection. Abstr. Appl. Anal. 2014 (2014), Article ID 623436, 10 pages. doi:10.1155/2014/623436. https://projecteuclid.org/euclid.aaa/1425049854

Export citation