Development of a Network Traffic Anomaly Detection System Based on Neural Networks
摘要
Ensuring information security using artificial intelligence technologies is one of the most promising areas in the modern world. The use of an artificial intelligence-based cyber incident response system will provide the necessary support while simultaneously processing a large number of events, automating the routine actions of analysts and ensuring timely response to incidents without human intervention. As a result of the work, neural networks created on the basis of various variations of input parameters were trained and tested. The resulting solutions handle incoming network traffic on their own, informing security administrators of any unusual network behavior.