Fighting spam, phishing, and online scams at the network level

Nick Feamster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Spam continues to grow at an unbridled pace, and the behavior of spammers is becoming increasingly dynamic; to stem this tide, users and operators need new proactive techniques that distinguish spammers from legitimate senders based on robust, network-level features, that are more difficult to change than the message itself. This talk described a new technique called behavioral blacklisting that allows users and operators to track the reputation of spammers based on their dynamic behavior, which tends to be more invariant than the contents of the message or the IP address from which they are sending. Although much work remains (e.g., coping with scale, evasion attempts from senders), our studies thus far indicate that behavioral blacklisting is a promising, complementary approach to existing techniques for filtering spam and fighting online scams.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th Asian Internet Engineering Conference, AINTEC 2008
Pages39-40
Number of pages2
DOIs
StatePublished - Dec 1 2008
Event4th Asian Internet Engineering Conference, AINTEC 2008 - Bangkok, Thailand
Duration: Nov 18 2008Nov 20 2008

Publication series

NameProceedings of the 4th Asian Internet Engineering Conference, AINTEC 2008

Other

Other4th Asian Internet Engineering Conference, AINTEC 2008
CountryThailand
CityBangkok
Period11/18/0811/20/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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