DocumentCode :
643181
Title :
Development of neural network immune detectors for computer attacks recognition and classification
Author :
Komar, Maria ; Golovko, Vladimir ; Sachenko, Anatoliy ; Bezobrazov, S.
Author_Institution :
Res. Inst. for Intell. Comput. Syst., Ternopil Nat. Econ. Univ., Ternopil, Ukraine
Volume :
02
fYear :
2013
fDate :
12-14 Sept. 2013
Firstpage :
665
Lastpage :
668
Abstract :
There is developed a combined method that is based on the integration of neural network detectors in an artificial immune system. This allowed them to adapt to new attacks with the help of cloning and mutation operations.
Keywords :
artificial immune systems; neural nets; pattern classification; security of data; artificial immune system; cloning operations; computer attack classification; computer attack recognition; mutation operations; neural network immune detectors; Computers; Detectors; Immune system; Information technology; Intrusion detection; Neural networks; Training; artificial immune systems; information telecommunication networks; neural network; neural network immune detector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
Type :
conf
DOI :
10.1109/IDAACS.2013.6663008
Filename :
6663008
Link To Document :
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