Publication detail

An Anti-spam Software Plugin For E-Mail Classification Based On Geographical Location Of The Sender

KOVAŘÍK, M. CAHA, T.

Original Title

An Anti-spam Software Plugin For E-Mail Classification Based On Geographical Location Of The Sender

Type

conference paper

Language

English

Original Abstract

Every e-mail sent must be transferred by one or more mail servers. Some of these servers are connected to the Internet using a public IP address. IP addresses can be geographically located, e.g., using geolocation databases. This means e-mails can be classified by the location of the sender. This paper introduces an anti-spam plugin for such classification. The plugin is implemented for SpamAssassin anti-spam software. The basic functionality was implemented. By using this plugin, one can define a penalty score for specific countries as e-mail origins.

Keywords

anti-spam plugin;e-mail;geolocation;IP2Location;SpamAssassin

Authors

KOVAŘÍK, M.; CAHA, T.

Released

26. 4. 2022

Publisher

Brno University of Technology, Faculty of Electronic Engineering and Communication

Location

Brno

ISBN

978-80-214-6029-4

Book

Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers

Edition

1

Pages from

273

Pages to

276

Pages count

4

URL

BibTex

@inproceedings{BUT178104,
  author="Martin {Kovařík} and Tomáš {Caha}",
  title="An Anti-spam Software Plugin For E-Mail Classification Based On Geographical Location Of The Sender",
  booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers",
  year="2022",
  series="1",
  pages="273--276",
  publisher="Brno University of Technology, Faculty of Electronic Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1.pdf"
}