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The RAFFI project aims to devise new algorithms and tools to prevent, detect and correct possible attacks to which the different electronic banking channels (web, mobile and DTT) may be subjected.
The project allows real-time evaluation of the behavior of an access through any channel and real-time fraud detection based on the history of previous behavior of different users accessing different channels.
Garcia-Cervigon, M.; Vázquez, J.; Medina, M. Web sessions anomaly detection in dynamic environments. “2009 Information Security Solutions Europe.” “ISSE 2009: Securing Electronic Business Processes: Highlights of the Information Security Solutions Europe 2009 Conference”. Wiesbaden: Vieweg+Teubner, 2010, p. 216-220.
Garcia-Cervigon, M.; Vázquez, J. WADS: a web anomaly detection system. “5th International Conference on Intelligent Environments.” “Intelligent Environments 2009: Proceedings of the 5th International Conference on Intelligent Environments”. IOS Press, 2009, p. 223-227.