Intelligent Cyber Defense System

In this paper a novel method for detection of network attacks and malicious code is described. The method is based on main principles of Artificial Immune Systems where immune detectors have an Artificial Neural Network’s structure. The main goal of proposed approach is to detect unknown, previous unseen cyber attacks (malicious code, intrusion detection, etc.). The mechanism of evolution of the neural network immune detectors allows increasing the detection rate. The proposed Intelligent Cyber Defense System can increase the reliability of intrusion detection in computer systems and, as a result, it may reduce financial losses of companies from cyber attacks.

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