Spam Filter Based On Geographical Location Of The Sender
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144995" target="_blank" >RIV/00216305:26220/22:PU144995 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.2478/jee-2022-0038" target="_blank" >https://doi.org/10.2478/jee-2022-0038</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/jee-2022-0038" target="_blank" >10.2478/jee-2022-0038</a>
Alternative languages
Result language
angličtina
Original language name
Spam Filter Based On Geographical Location Of The Sender
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Electrical Engineering
ISSN
1335-3632
e-ISSN
1339-309X
Volume of the periodical
73
Issue of the periodical within the volume
4
Country of publishing house
SK - SLOVAKIA
Number of pages
7
Pages from-to
292-298
UT code for WoS article
000859435000008
EID of the result in the Scopus database
2-s2.0-85139222046