Title :
Network Anomaly Detection using Neural Networks
Author :
Globa, L. ; Demidova, Y. ; Ternovoy, M.
Author_Institution :
Nat. Tech. Univ. of Ukarine, Kyiv
Abstract :
The advisability of using neural networks for detecting network anomalies is grounded. The solution method for network anomaly detection based on neural approach is offered. The back-propagation neural network for solution of the problem is selected. DoS and DDoS threats are simulated
Keywords :
backpropagation; neural nets; security of data; telecommunication computing; telecommunication security; DDoS threats; DoS threats; back-propagation neural network; distributed denial-of-service; network anomaly detection; Computer crime; Helium; Indium tin oxide; Neural networks; Security; Tellurium;
Conference_Titel :
Microwave and Telecommunication Technology, 2006. CriMiCO '06. 16th International Crimean Conference
Conference_Location :
Sevastopol, Crimea
Print_ISBN :
966-7968-92-8
Electronic_ISBN :
966-7968-92-8
DOI :
10.1109/CRMICO.2006.256445
