Open AccessA Comparative Study on the Performance of Intrusion Detection using Decision Tree and Artificial Neural Network Models
Author(s) -
Seongrae Jo,
Sung Haengnam,
Byung-Hyuk Ahn
Publication year - 2015
Publication title -
journal of the korea society of digital industry and information management
Language(s) - English
Resource type - Journals
eISSN - 2713-9018
pISSN - 1738-6667
DOI - 10.17662/ksdim.2015.11.4.033
Subject(s) - computer science , intrusion detection system , data mining , decision tree , artificial neural network , constant false alarm rate , benchmark (surveying) , machine learning , decision tree model , artificial intelligence , anomaly based intrusion detection system , geodesy , geography
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