DocumentCode :
2207742
Title :
Spam Detection Proposal in Regular and Text-based Image Emails
Author :
Issac, Biju ; Raman, Valliappan
Author_Institution :
Inf. Security Res. Lab., Swinburne Univ. of Technol., Kuching
fYear :
2006
fDate :
14-17 Nov. 2006
Firstpage :
1
Lastpage :
4
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
Keywords :
feature extraction; image processing; unsolicited e-mail; Email trash; intelligent information extraction; multilayered spam detection algorithm; text-based image content; Data mining; Feature extraction; Filtering; Filters; Histograms; Image edge detection; Image processing; Information security; Proposals; Unsolicited electronic mail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
Type :
conf
DOI :
10.1109/TENCON.2006.343905
Filename :
4142536
Link To Document :
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