Filtering spam e-mail on a global scale

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Filtering spam e-mail on a global scale

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International World Wide Web Conference archive
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters table of contents

New York, NY, USA

POSTER SESSION: Posters table of contents

Pages: 366 - 367

Year of Publication: 2004

ISBN:1-58113-912-8

Authors

G. Hulten	Microsoft, Redmond, WA
J. Goodman	Microsoft, Redmond, WA
R. Rounthwaite	Microsoft, Redmond, WA

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 0, Downloads (12 Months): 36, Citation Count: 2

Additional Information:

abstract references cited by index terms collaborative colleagues

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ABSTRACT

In this paper we analyze a very large junk e-mail corpus which was generated by a hundred thousand volunteer users of the Hotmail e-mail service. We describe how the corpus is being collected, and analyze: the geographic origins of the e-mail who the e-mail is targeting and what the e-mail is selling.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

FTC Division of Marketing Practice. False claims in spam. http://www.ftc.gov/opa/2003/04/spamrpt.htm. April 30, 2003

CITED BY 2

	Duncan Cook , Jacky Hartnett , Kevin Manderson , Joel Scanlan, Catching spam before it arrives: domain specific dynamic blacklists, Proceedings of the 2006 Australasian workshops on Grid computing and e-research, p.193-202, January 16-19, 2006, Hobart, Tasmania, Australia
	Nigel Melville , Aaron Stevens , Robert Plice , Oleg Pavlov, Unsolicited Commercial E-Mail: Empirical Analysis of a Digital Commons, International Journal of Electronic Commerce, v.10 n.4, p.143-170, Number 4 / Summer 2006