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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
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1.pdf
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" }