High performance adaptive system for cyber attacks detection

To increase the security of intrusion detection system, generalized structure of highly performance adaptive system for cyber attacks detection was developed. To improve its robustness, methods of artificial intelligence were proposed. Neural immune detectors were used as the main tool for identifyi...

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Bibliographic Details
Published in2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Vol. 2; pp. 853 - 858
Main Authors Komar, Myroslav, Kochan, Volodymyr, Dubchak, Lesia, Sachenko, Anatoliy, Golovko, Vladimir, Bezobrazov, Sergei, Romanets, Ihor
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
artificial intelligence
Computer hacking
cyber attacks
Detectors
Hardware
high performance adaptive system
intrusion detection system
Mamdani fuzzy inference
neural immune detector
Neural networks
Programmable logic arrays
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Summary:To increase the security of intrusion detection system, generalized structure of highly performance adaptive system for cyber attacks detection was developed. To improve its robustness, methods of artificial intelligence were proposed. Neural immune detectors were used as the main tool for identifying cyber attacks. These detectors for cyber attacks identification and classification and other vulnerable subsystems were implemented in programmable logic arrays. To provide high performance, the Mamdani fuzzy inference rules were used and relevant subsystem structures were developed.
DOI:10.1109/IDAACS.2017.8095208