A proposal of a method to detect spam from information messages

but.event.date26.04.2022cs
but.event.titleSTUDENT EEICT 2022cs
dc.contributor.authorRickwood, M.
dc.contributor.authorOujezský, V.
dc.date.accessioned2023-04-25T10:17:07Z
dc.date.available2023-04-25T10:17:07Z
dc.date.issued2022cs
dc.description.abstractThis paper presents a spam detection algorithm that uses solely traffic flow logs in the form of Netflow messages. Internet service providers must detect spam in order for their entire subnets not to be marked as spamming stations. The algorithm was drafted based on an analysis of various datasets containing Netflow records. These datasets consist of valid e-mails, spam and common non e-mail related traffic. The algorithm uses domain name system blacklist verification as the first step of identifying a spamming station. Furthermore, theoretical models of valid clients and spammers have been laid out. In continuation of this work, the dataset will be studied to find correlation with the models. Included in the tracked parameters one can find the number of incoming and outcoming messages, timestamps amongst others.en
dc.formattextcs
dc.format.extent137-140cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 28st Conference STUDENT EEICT 2022: General papers. s. 137-140. ISBN 978-80-214-6029-4cs
dc.identifier.isbn978-80-214-6029-4
dc.identifier.urihttp://hdl.handle.net/11012/209311
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 28st Conference STUDENT EEICT 2022: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectDetectionen
dc.subjecte-mailen
dc.subjectflowen
dc.subjectsecurityen
dc.subjectspamen
dc.titleA proposal of a method to detect spam from information messagesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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