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Towards a 2-hybrid Android malware detection test framework

Authors: Abraham Rodriguez-Mota; Ponciano Jorge Escamilla-Ambrosio; Salvador Morales-Ortega; Moisés Salinas-Rosales; Eleazar Aguirre Anaya;

Towards a 2-hybrid Android malware detection test framework

Abstract

Current pervasive usage of mobile devices around the world has rose big security and data protection concerns both into the application development process as into the data security field. Although the long way of development in PC security malware treatment in the computer science and industrial areas, mobile devices security research and development have proved that in this area malware treatment goes far beyond PC malware analysis and prevention techniques replication. In this context, this paper provides a description of a current open-ended project aimed to produce a 2-hybrid malware detection test framework. Based on the current trends of hybrid malware analysis, in this work the term 2-hybrid implies both a local(host)-remote(server/cloud) implementation and a static-dynamic analysis approach.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
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