Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
In this paper, an immune-inspired model, named IA-AIS (Innate and Adaptive Artificial Immune System) is proposed and applied to the problem of identification of unsolicited bulk e...
Thiago S. Guzella, Tomaz A. Mota-Santos, Joaquim Q...
We present Active Spam Killer (ASK), a program that attempts to validate unknown senders before allowing delivery of their message. Validation occurs by means of a challenge reply...
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...
We provide a model to study the effects of three methods of fighting spam mail, namely (1) increasing the cost of mailing messages, (2) filters, and (3) a do-not-spam registry, on...
Spam has become a serious problem of Internet, and the current defense is limited to the filters deployed at the recipient side. Little known research has been applied to reduce ...
By analyzing a two-month trace of more than 25 million emails received at a large US university campus network, of which more than 18 million are spam messages, we characterize th...