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https://www.usenix.org/system/files/conference/usenixsecurity12/sec12-final59.pdf
features about the sender of an email (e.g., the IP address or autonomous system from which the email is sent, or the geographical distance between the sender and the re-cipient), one can assess whether an email is likely spam, without looking at the email content. While existing approaches reduce spam, they also suf-fer from limitations.
https://www.researchgate.net/publication/229078752_Bbel_Leveraging_Email_Delivery_for_Spam_Mitigation
B@bel: Leveraging Email Delivery for Spam Mitigation. ... First, we leverage the insight that different mail clients (and bots) imple-ment the SMTP protocol in slightly different ways. We ...
https://www.usenix.org/sites/default/files/conference/protected-files/stringhini_usenixsecurtiy12_slides.pdf
Spam is a big problem I Wealthy economy behind spam I 77% of emails are spam I Botnets responsible for 85% of spam Stringhini et al. B@BEL: Leveraging Email Delivery for Spam Mitigation
https://www.usenix.org/conference/usenixsecurity12/technical-sessions/presentation/stringhini
B@bel: Leveraging Email Delivery for Spam Mitigation. Authors: Abstract: Traditional spam detection systems either rely on content analysis to detect spam emails, or attempt to detect spammers before they send a message, (i.e., they rely on the origin of the message).
https://www.youtube.com/watch?v=Rx3v7oQ41oY
Aug 25, 2012 · First, we leverage the insight that different mail clients (and bots) implement the SMTP protocol in slightly different ways. We automatically learn these SMTP dialects and use them to detect bots ...Author: SecurityTubeCons
https://www.narcis.nl/publication/RecordID/oai%3Acris.maastrichtuniversity.nl%3Apublications%2Fdf2e657c-fd09-48cf-a387-418700b648a5
Title: B@bel: Leveraging Email Delivery for Spam Mitigation: Published in: Proceedings of the 21st USENIX Security Symposium: Author: Stringhini, Gianluca, Egele ...Author: Gianluca Stringhini, Manuel Egele, Apostolis Zarras, Thorsten Holz, Christopher Kruegel, Giovanni Vi...
https://www.sec.in.tum.de/i20/publications/b-bel-leveraging-email-delivery-for-spam-mitigation
B@bel: Leveraging Email Delivery for Spam Mitigation Traditional spam detection systems either rely on content analysis to detect spam emails, or attempt to detect spammers before they send a message, (i.e., they rely on the origin of the message).
https://www.academia.edu/26525166/B_at_bel_leveraging_email_delivery_for_spam_mitigation
B@bel: leveraging email delivery for spam mitigation
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.4087
spam mitigation smtp dialect smtp protocol level new approach fake information different way spam email concrete instance email delivery mechanism content analysis email address list traditional spam detection system third approach complementary technique smtp transaction subsequent spam email different mail client non-existent recipient ...
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