Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection
Joint Authors
Alegre-Sanahuja, Juan
Santonja, Francisco-José
Villanueva Micó, Rafael Jacinto
Cortés López, Juan Carlos
Camacho, J.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Alegre-Sanahuja, Juan& Camacho, J.& Cortés López, Juan Carlos& Santonja, Francisco-José& Villanueva Micó, Rafael Jacinto. 2014. Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1014362
Modern Language Association (MLA)
Alegre-Sanahuja, Juan…[et al.]. Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1014362
American Medical Association (AMA)
Alegre-Sanahuja, Juan& Camacho, J.& 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. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1014362
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014362