Spam Filter Based On Geographical Location Of The Sender
dc.contributor.author | Caha, Tomáš | cs |
dc.contributor.author | Kovařík, Martin | cs |
dc.coverage.issue | 4 | cs |
dc.coverage.volume | 73 | cs |
dc.date.accessioned | 2022-09-27T08:53:26Z | |
dc.date.available | 2022-09-27T08:53:26Z | |
dc.date.issued | 2022-09-22 | cs |
dc.description.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. | en |
dc.format | text | cs |
dc.format.extent | 292-298 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | Journal of Electrical Engineering. 2022, vol. 73, issue 4, p. 292-298. | en |
dc.identifier.doi | 10.2478/jee-2022-0038 | cs |
dc.identifier.issn | 1339-309X | cs |
dc.identifier.other | 178478 | cs |
dc.identifier.uri | http://hdl.handle.net/11012/208456 | |
dc.language.iso | en | cs |
dc.publisher | Slovak University of Technology | cs |
dc.relation.ispartof | Journal of Electrical Engineering | cs |
dc.relation.uri | https://doi.org/10.2478/jee-2022-0038 | cs |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported | cs |
dc.rights.access | openAccess | cs |
dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/1339-309X/ | cs |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | cs |
dc.subject | geographical location | en |
dc.subject | geolocation | en |
dc.subject | spam filter | en |
dc.title | Spam Filter Based On Geographical Location Of The Sender | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
sync.item.dbid | VAV-178478 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2022.11.16 12:52:34 | en |
sync.item.modts | 2022.11.16 12:14:22 | en |
thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikací | cs |
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