INTELLIGENT INFORMATION
TECHNOLOGY OF
DETECTION NETWORK ATTACKS IN REAL TIME SYSTEM
M.P. Komar
The structure and algorithms of neural network immune system of the
detection computer attacks are developed, that consists of such subsystem as:
traffic pretreatment, training and selection of detectors, traffic analysis and
detection of computer attacks, adaptation. The adaptation
method of developed system to the trends of computer attacks that can detect
new, previously unknown cyber attacks, analyze them and adapt to new realities
in order to improve the quality of detection. The implementation of the
basic blocks of the neural network immune system of the detection computer
attacks is proposed that is based on the modular principle. The experiments on
testing the proposed system are made, which show the ability of neural network
immune detectors effectively detect polytypic cyber attacks.
Key words: intelligent information
technology, network attacks, neural network, immune systems, network traffic,
immune neural network detector.