Web mail providers rely on users to “vote” to quickly and collaboratively identify spam messages. Unfortunately, spammers have begun to use bots to control large collections o...
Anirudh Ramachandran, Anirban Dasgupta, Nick Feams...
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
Ion Androutsopoulos, Georgios Paliouras, Vangelis ...
Social networking communities have become an important communications platform, but the popularity of these communities has also made them targets for a new breed of social spamme...
Email has become an integral and sometimes overwhelming part of users’ personal and professional lives. In this paper, we measure the flow and frequency of user email toward th...
Lisa Johansen, Michael Rowell, Kevin R. B. Butler,...
Almost all current anti spam measures are reactive, filtering being the most common. But to react means always to be one step behind. Reaction requires to predict the next action ...