Spam Filter Based On Geographical Location Of The Sender

Abstract

Spam annoys users and poses a security threat. This article proposes a spam filter based on geographical location of the sender determined by IP geolocation. This filter was implemented as a plugin to the SpamAssassin anti-spam software. The plugin allows to define a penalty score for specific countries sending spam. The proposed filter was tested on a dataset of 1500 e-mails consisting of 1200 spam and 300 legitimate e-mails. The Matthews Correlation Coefficient (MCC) of the filter has a value of 0.2223. This indicates that the proposed spam filter contributes to the correct spam filtering.Spam annoys users and poses a security threat. This article proposes a spam filter based on geographical location of the sender determined by IP geolocation. This filter was implemented as a plugin to the SpamAssassin anti-spam software. The plugin allows to define a penalty score for specific countries sending spam. The proposed filter was tested on a dataset of 1500 e-mails consisting of 1200 spam and 300 legitimate e-mails. The Matthews Correlation Coefficient (MCC) of the filter has a value of 0.2223. This indicates that the proposed spam filter contributes to the correct spam filtering.