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
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;
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
