Reaching a consensus on access detection by a decision system

Cesar Guevara, Matilde Santos, Jose Antonio Martin, Victoria Lopez
2014 2014 IEEE International Conference on Progress in Informatics and Computing  
Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to information security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined to improve the
more » ... improve the performance of a classifier. In order to validate the system, a scenario based on real data of the NSL-KDD99 dataset is used.
doi:10.1109/pic.2014.6972308 fatcat:2xdgufrfl5atxmrvl43huzt4gi