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ICIP
2005
IEEE
14 years 9 months ago
Using visual features for anti-spam filtering
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
Ching-Tung Wu, Kwang-Ting Cheng, Qiang Zhu, Yi-Leh...
CEAS
2007
Springer
14 years 1 months ago
DomainKeys Identified Mail (DKIM): Using Digital Signatures for Domain Verification
Email protocols were designed to be flexible and forgiving, designed in a day when Internet usage was a cooperative thing. A side effect of that is that they were not designed to ...
Barry Leiba, Jim Fenton
SAC
2005
ACM
14 years 29 days ago
SELS: a secure e-mail list service
Exchange of private information content among a large number of users via E-mail List Services is becoming increasingly common. In this paper we address security requirements in t...
Himanshu Khurana, Adam J. Slagell, Rafael Bonilla
SIGIR
2009
ACM
14 years 1 months ago
Spam filter evaluation with imprecise ground truth
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
Gordon V. Cormack, Aleksander Kolcz
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
14 years 23 days ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...