Anomaly Detection in Email Traffic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00237637" target="_blank" >RIV/68407700:21230/15:00237637 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Anomaly Detection in Email Traffic

Popis výsledku v původním jazyce

Existing email antispam techniques are able to filter out majority of unsolicited bulk mail, however in recent years a new type of emails started to appear in user inboxes - newsletters and notifications. Such emails are often referred to as graymail andthey are usually sent to users who have subscribed for them. Usual graymail senders (such as well established e-commerce services) do not send unsolicited graymail and give receivers the ability to unsubscribe. Last year, the largest freemail service provider in the Czech Republic (Seznam.cz) discovered a new spamming behavior. Spammers use stolen databases of email addresses and send unsolicited emails, which resemble usual newsletters. Standard antispam techniques fail to filter out such messages, because spammers mask themselves by frequent changes of addresses and the similarity to standard newsletters makes the content filtering impossible. In this work, we try to detect the masking behavior of spammers by proposing new email desc

Název v anglickém jazyce

Anomaly Detection in Email Traffic

Popis výsledku anglicky

Existing email antispam techniques are able to filter out majority of unsolicited bulk mail, however in recent years a new type of emails started to appear in user inboxes - newsletters and notifications. Such emails are often referred to as graymail andthey are usually sent to users who have subscribed for them. Usual graymail senders (such as well established e-commerce services) do not send unsolicited graymail and give receivers the ability to unsubscribe. Last year, the largest freemail service provider in the Czech Republic (Seznam.cz) discovered a new spamming behavior. Spammers use stolen databases of email addresses and send unsolicited emails, which resemble usual newsletters. Standard antispam techniques fail to filter out such messages, because spammers mask themselves by frequent changes of addresses and the similarity to standard newsletters makes the content filtering impossible. In this work, we try to detect the masking behavior of spammers by proposing new email desc

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 19th International Scientific Student Conferenece POSTER 2015

ISBN

978-80-01-05499-4

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

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Název nakladatele

Czech Technical University in Prague

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

14. 5. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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