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ICDAR
2005
IEEE
13 years 11 months ago
Image Analysis for Efficient Categorization of Image-based Spam E-mail
To circumvent prevalent text-based anti-spam filters, spammers have begun embedding the advertisement text in images. Analogously, proprietary information (such as source code) ma...
Hrishikesh Aradhye, Gregory K. Myers, James A. Her...
CEAS
2006
Springer
13 years 9 months ago
Breaking Anti-Spam Systems with Parasitic Spam
The existance of networks of `bots' raises the possibility of a new type of spam that breaks the current paradigm of spam defense, in which the defence acts purely as a filte...
Morton Swimmer, Ian Whalley, Barry Leiba, Nathanie...
DAS
2004
Springer
13 years 11 months ago
A Neural Network Classifier for Junk E-Mail
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
Ian Stuart, Sung-Hyuk Cha, Charles C. Tappert
CEAS
2006
Springer
13 years 9 months ago
An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...
Ben Medlock
IMECS
2007
13 years 7 months ago
On Extendable Software Architecture for Spam Email Filtering
—The research community and the IT industry have invested significant effort in fighting spam emails. There are many different approaches, ranging from white listing, black listi...
Wanli Ma, Dat Tran, Dharmendra Sharma