<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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 of the filter has a value of 0.222. This indicates that the proposed spam filter contributes to the correct spam filtering.</p>
</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 of the filter has a value of 0.222. This indicates that the proposed spam filter contributes to the correct spam filtering.

Spam filter based on geographical location of the sender

Department of Telecommunications, Faculty of Electrical Engineering and Communication

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Spam filter based on geographical location of the sender"}

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....

Spam filter based on geographical location of the sender

Online veröffentlicht: 22. Sept. 2022

Seitenbereich: 292 - 298

Eingereicht: 30. Juni 2022

DOI: https://doi.org/10.2478/jee-2022-0038

Schlüsselwörter
spam filter, IP geolocation, Matthews corrrelation coefficient

© 2022 Tomáš Caha et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Spam filter based on geographical location of the sender

Online veröffentlicht: 22. Sept. 2022

Seitenbereich: 292 - 298

Eingereicht: 30. Juni 2022

DOI: https://doi.org/10.2478/jee-2022-0038

Schlüsselwörterspam filter, IP geolocation, Matthews corrrelation coefficient

© 2022 Tomáš Caha et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
spam filter, IP geolocation, Matthews corrrelation coefficient