The invention discloses a network flow
threat detection method based on an
artificial intelligence model, and belongs to the technical field of
network security, and the method comprises the following steps: data collection and preprocessing: collecting network flow data, and preprocessing the collected data;
feature extraction: extracting features beneficial to
threat detection from the preprocessed data; and analyzing and simulating an
attack process, constructing a series of
attack scenes, and carrying out targeted testing on network traffic. According to the network flow
threat detection method, the network flow is detected in real time through the
software model or the
software system created by the invention, early warning is triggered in time when abnormal flow is detected, network attacks can be effectively prevented, network safety is guaranteed, a large amount of data can be automatically processed through the network flow threat detection method based on the
artificial intelligence model, the detection efficiency is greatly improved, and the detection cost is reduced. According to the invention, the
workload of safety personnel is reduced, and tiny difference between normal traffic and abnormal traffic can be learned, so that the detection accuracy is improved, and
false alarm and missing alarm are reduced.