Skip to main content

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

  • Living reference work entry
  • First Online:

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...

This is a preview of subscription content, log in via an institution.

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sergio de los Santos .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this entry

Cite this entry

de los Santos, S., Guzmán, A., Torrano, C. (2017). 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/10.1007/978-1-4614-7163-9_110173-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_110173-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics