SMS Spam Filtering: Methods and Data

Authors

Sarah Jane Delany, Technological University DublinFollow
Mark Buckley, Technological University Dublin
Derek Greene, University College Dublin

Document Type

Article

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Computer Sciences

Publication Details

"Expert Systems with Applications", 39 (10), p9899-9908, Elsevier.

Abstract

Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal service. SMS spam filtering is a relatively new task which inherits many issues and solu- tions from email spam filtering. However it poses its own specific challenges. This paper motivates work on filtering SMS spam and reviews recent devel- opments in SMS spam filtering. The paper also discusses the issues with data collection and availability for furthering research in this area, analyses a large corpus of SMS spam, and provides some initial benchmark results.

DOI

https://doi.org/10.1016/j.eswa.2012.02.053

Recommended Citation

Delany,S. J., Buckley, M. & Greene, D. (2012) SMS Spam Filtering: Methods and Data, Expert Systems with Applications, vol. 39 (10), p9899-9908. doi:10.1016/j.eswa.2012.02.053