z-logo
open-access-imgOpen Access
A 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 -
diji'teol san'eob jeongbo haghoe nonmunji/dijiteol saneop jeongbo hakoe nonmunji
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here