Spam detection proposal in regular and text-based image emails

Biju Issac*, Valliappan Raman

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Spam emails are invading users without their consent and filling their mail boxes with email trash. Priceless effort and time of the users and organizations are wasted in handling them. To circumvent anti-spam solutions, many spammers are sending spam email with image-only content. In this paper we propose a spam detection approach in emails with text and image contents. In the first part, a novel framework for extracting intelligent information from emails with image content is presented and a prototype implementation is shown. In the second part, a proposal for multi-layered spam detection algorithm is presented, which enhances existing approaches.

Original languageEnglish
Title of host publication2006 IEEE Region 10 Conference, TENCON 2006
PublisherIEEE
Number of pages4
ISBN (Print)1424405491, 9781424405497
DOIs
Publication statusPublished - 10 Apr 2007
Event2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China
Duration: 14 Nov 200617 Nov 2006

Publication series

NameTENCON
PublisherIEEE
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2006 IEEE Region 10 Conference, TENCON 2006
Country/TerritoryChina
CityHong Kong
Period14/11/0617/11/06

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