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