MailRank: using ranking for spam detection
Proceedings of the 14th ACM international conference on Information and knowledge management
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
The Journal of Machine Learning Research
Journal of Computer Security
A spam rejection scheme during SMTP sessions based on layer-3 e-mail classification
Journal of Network and Computer Applications
Targeting spam control on middleboxes: Spam detection based on layer-3 e-mail content classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Journal of Computer Security - Best papers of the Sec Track at the 2006 ACM Symposium
Hi-index | 4.10 |
The percentage of all e-mail that is unsolicited has risen steadily during the past couple of years. This barrage of spam has caused numerous complaints from many sources. In fact, a recent survey by the Pew Internet and American Life Project - which funds research on the Internet's impact on individuals, families, and communities - showed that 75 percent of US users are concerned about spam. Many industry observers say neither filtering nor regulation will effectively stop spam. They contend that more fundamental changes to e-mail technology - such as alterations to basic standards are necessary.