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

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

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Alegre Sanahuja, J.; Camacho Vidal, FJ.; Cortés López, JC.; Santonja, F.; Villanueva Micó, RJ. (2014). Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection. Abstract and Applied Analysis. 2014:1-10. doi:10.1155/2014/623436

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50558

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Title: Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària
Issued date:
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 agentbased model to quantify the Android malware infection evolution, modeling the behavior ...[+]
Copyrigths: Reconocimiento (by)
Source:
Abstract and Applied Analysis. (issn: 1085-3375 )
DOI: 10.1155/2014/623436
Publisher:
Hindawi Publishing Corporation
Publisher version: http://dx.doi.org//10.1155/2014/623436
Thanks:
This work has been partially supported by the Ministerio de Econom´ıa y Competitividad Grant MTM2013-41765-P.
Type: Artículo

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