Escola de EngenhariaCOPPEUniversidade Federal do Rio de Janeiro
Apresentação do GTA

 

EnsinoEquipePesquisaPublicaçõesSeminários

 

 

Fighting SPAM

The number of spams is constantly rising and the losses caused by it reach billions of dollars per year. Anti-spam mechanisms are used in order to reduce the number of spams that reaches users' mailboxes. However these mechanisms can cause false-positives, when legitimate messages are classified as spams. False-positives can cause many losses, including financial losses due to delays and lost opportunities. This way, a mechanism to reduce false-positives can be very beneficial for users and its organizations. Common anti-spam mechanisms currently used don't take into consideration the users' behavior history when they analyze the users' messages. For a legitimate user, each message is analyzed without taking into consideration if the user has already sent many legitimate messages. A user that has a history of sending legitimate messages will probably continue to send legitimate messages. We are currently working on an anti-spam system which takes into account the history of messages sent by the user to decide if a new message is spam or not. A simple authentication system is used to authenticate the users, so we can keep a track of the users' behavior. To improve the performance, a reputation system is used to exchange information about the users' behavior history with other servers, so more information about the users' behavior is available to take the decision.

Selected Publications

  • Taveira, D. M., and Duarte, O. C. M. B. - "A Monitor Tool for Anti-spam Mechanisms and Spammers Behavior", in 6th IEEE International Workshop on End-to-End Monitoring Techniques and Services - E2EMON 2008, Salvador, BA, Brazil, April 2008 (GTA-08-07).

  • Taveira, D. M. and Duarte, O. C. M. B. - "Mecanismo Anti-Spam Baseado em Autenticação e Reputação", in XXVI Simpósio Brasileiro de Redes de Computadores - SBRC'2008, pp. 861-874, Rio de Janeiro, RJ, Brazil, May 2008 (GTA-07-27).