DocumentCode
2055394
Title
Principles of neural network artificial immune system design to detect attacks on computers
Author
Golovko, Vladimir ; Komar, Myroslav ; Sachenko, Anatoly
Author_Institution
Brest State Tech. Univ., Brest, Belarus
fYear
2010
fDate
23-27 Feb. 2010
Firstpage
237
Lastpage
237
Abstract
It´s proposed to use artificial immune systems and neural networks to detect attacks on computer systems. The principles of attack detection system design based on artificial immune network are described, and the architecture of attack detection system is presented.
Keywords
artificial immune systems; neural nets; security of data; artificial immune network; artificial immune system; attack detection system; neural network; Artificial immune systems; Artificial neural networks; Computer architecture; Computer networks; Computer security; Detectors; Immune system; Intrusion detection; Neural networks; Protection; Artificial Immune Systems; Computer Network Security; Immune Detectors; Intrusion Detection Systems; Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location
Lviv-Slavske
Print_ISBN
978-966-553-875-2
Electronic_ISBN
978-966-553-901-8
Type
conf
Filename
5446089
Link To Document