DocumentCode
3348227
Title
Neural Network Approach of Attack´s Detection In the Network Traffic
Author
Demidova, Yana ; Ternovoy, Maksym
Author_Institution
Kyiv Polytech. Inst., Nat. Tech. Univ. Of Ukraine, Kyiv
fYear
2007
fDate
19-24 Feb. 2007
Firstpage
128
Lastpage
129
Abstract
A review of the existing situation in a computer system´s security zone is made. Classification of security threats and possible attacks on them carried out. The advisability of using neural networks for detecting network attacks is substantiated The Back-Propagation Neural Network for solution of the problem put by is selected. Attacks in the network traffic were correctly identified.
Keywords
backpropagation; neural net architecture; security of data; telecommunication computing; telecommunication traffic; back-propagation neural network; information system; intrusion detection; network attack detection; network traffic; Artificial neural networks; Data security; Information security; Information systems; Intrusion detection; Multi-layer neural network; Neural networks; Neurons; Telecommunication traffic; Traffic control; artificial neural network; attacks; information system; intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
CAD Systems in Microelectronics, 2007. CADSM '07. 9th International Conference - The Experience of Designing and Applications of
Conference_Location
Lviv-Polyana
Print_ISBN
966-533-587-0
Type
conf
DOI
10.1109/CADSM.2007.4297500
Filename
4297500
Link To Document