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Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study

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Synonyms

Android; Big Data; Machine learning; Pattern recognition; Malware

Glossary

Antivirus signatures:

Singularity used by antivirus engines to identify certain piece of malware

BlackASO:

Black Hat App Store Optimization. It refers to any technique used to artificially rise up the number of downloads and rating of applications in markets

GMT:

Greenwich mean time

PHP:

Pre-hypertext processor

Malware:

Code written to cause harm to the device where it runs or, indirectly, the person using the device

Definition

Machine learning is concerned with how to construct computer programs that automatically learn with experience. Machine learning systems are based on the establishment of an explicit or implicit model that allows to categorize the analyzed patterns (Tsai et al. 2009).

This automation capability is very useful in the cyberspace, where big amounts of data need to be handled. In regard to that, the term Big Data is frequently used. Big Data usually includes datasets with sizes...

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  • DOI: 10.1007/978-1-4939-7131-2_110173
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Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study, Fig. 1
Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study, Fig. 2
Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study, Fig. 3
Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study, Fig. 4
Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study, Fig. 5

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Correspondence to Sergio de los Santos .

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© 2018 Springer Science+Business Media LLC, part of Springer Nature

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de los Santos, S., Guzmán, A., Torrano, C. (2018). Android Malware Pattern Recognition for Fraud Detection and Attribution: A Case Study. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_110173

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