Title :
Spam intrusion detection in computer networks using intelligent techniques
Author :
Bellin Ribeiro, Patricia ; Alexandre da Silva, Luis ; Pontara da Costa, Kelton Augusto
Author_Institution :
Dept. of Comput., Coll. of Technol. of Sao Paulo State, Bauru, Brazil
Abstract :
Anomalies in computer networks has increased in the last decades and raised concern to create techniques to identify these unusual traffic patterns. This research aims to use data mining techniques in order to correctly identify these anomalies, particularly in spam detection, for it was applied an collection of machine learning algorithms for data mining tasks and an dataset called SPAMBASE to identify the best techniques for this type of anomaly.
Keywords :
computer network security; data mining; learning (artificial intelligence); telecommunication traffic; unsolicited e-mail; SPAMBASE dataset; computer network anomaly; data mining technique; intelligent technique; machine learning algorithm; spam intrusion detection; traffic pattern identification; Bagging; Classification algorithms; Conferences; Data mining; Decision trees; Unsolicited electronic mail; Anomalies; Artificial Neural Networks; Computer networks; Data Mining; SPAMBASE; Weka Tool;
Conference_Titel :
Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
Conference_Location :
Ottawa, ON
DOI :
10.1109/INM.2015.7140495
