Efficient monitoring of the network is very important for an achievement of a security of today networks. The still growing speed of the links and the complexness of monitoring applications' requests have showed some borders of mostly used methods for monitoring. The process of packet classification should be speeding up as much as possible. As a possible approach, an artificial neural network (ANN) could be used for packet filtering. The performance of the artificial neural network was validated by software implementation of ANN for given network configuration. The principles of artificial neural networks and the possibility of using artificial neural network in a computer network are presented in the article. Created training sets represent the information for firewall to enable or disable packets. The number of neurons in the artificial neural network and the number of the hidden layers are optimized based on the results in the simulation.
Keywords-packet filter, firewall, artificial neural networkI.
Cyber security is one of the prominent global challenges due to significant increase in the number of cyberattacks over the last few decades. Cybersecurity awareness and cyber security training are promoted by hyper-realistic virtual environments termed as cyber ranges. This article highlights the concept of a cyber range. Cyber range for educational purposes in the armed forces has been proposed taking into account the important parameters a cyber range should incorporate. The author takes into account the use cases, the topology and software tools of the newly created cyber range.
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