Over the past few decades, the application of Artificial Immune Systems (AIS) and Artificial Neural Networks (ANN) has been growing rapidly in different domains. We sincerely believe that integration of these both techniques can allow constructing the Intelligent Cyber Defense System. In this paper an original method for detecting the network attacks and malicious code is described. The method is based on main principles of AIS where immune detectors have an ANN’s structure. The main goal of proposed approach is to detect previously unknown (novel) cyber-attack (malicious code, intrusion detection, etc.). The proposed Intelligent Cyber Defense System can improve the reliability of intrusion detection in computer systems and, as a result, it may reduce financial losses of companies from cyber attacks.
CITATION STYLE
Komar, M., Sachenko, A., Bezobrazov, S., & Golovko, V. (2017). Intelligent cyber defense system using artificial neural network and immune system techniques. In Communications in Computer and Information Science (Vol. 783, pp. 36–55). Springer Verlag. https://doi.org/10.1007/978-3-319-69965-3_3
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