TY - GEN
T1 - An Application of a Recurrent Network to an Intrusion Detection System
AU - Debar, Hervé
AU - Dorizzi, Bernadette
N1 - Publisher Copyright:
© 1992 IEEE
PY - 1992/1/1
Y1 - 1992/1/1
N2 - We present an application of recurrent neural networks for intrusion detection. Such algorithms have been widely studied for time series paction. Due to the characteristics of the temporal series that we consider, we have chosen a partially recurrent networic for our application. After a description of the reactions of the network on classical problems, we present a prototype that we use to demonstrate the capability of neural nets in the fíeld of intrusion detection.
AB - We present an application of recurrent neural networks for intrusion detection. Such algorithms have been widely studied for time series paction. Due to the characteristics of the temporal series that we consider, we have chosen a partially recurrent networic for our application. After a description of the reactions of the network on classical problems, we present a prototype that we use to demonstrate the capability of neural nets in the fíeld of intrusion detection.
U2 - 10.1109/IJCNN.1992.226942
DO - 10.1109/IJCNN.1992.226942
M3 - Conference contribution
AN - SCOPUS:85132011160
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 478
EP - 483
BT - Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1992 International Joint Conference on Neural Networks, IJCNN 1992
Y2 - 7 June 1992 through 11 June 1992
ER -