A novel anti-spam scheme for image-based email

Dong Jianshe, Yuan Zhanting, Zhang Qiuyu, Zheng Yufeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Spam has become a serious problem not only to the Internet but also to society. In past years, researchers studied the problem mainly on textual features. As the content of spam removing from text-only to multimedia-enriched, the existing text-based spam filters are no longer effective for these emails. This paper proposes a novel filter approach that focuses on the spam which contains images. The approach based on detection and counting the similar image-based emails. A special challenge-response mechanism also is introduced in this paper in order to avoid legitimate being chucked. By this mechanism, users no longer need cost time to check the spam folder.

Original languageEnglish
Title of host publicationProceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007
Pages520-522
Number of pages3
DOIs
StatePublished - 2007
Externally publishedYes
Event1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007 - Chengdu, China
Duration: 1 Nov 20073 Nov 2007

Publication series

NameProceedings of the 1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007

Conference

Conference1st International Symposium on Data, Privacy, and E-Commerce, ISDPE 2007
Country/TerritoryChina
CityChengdu
Period1/11/073/11/07

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