The invention belongs to the technical field of
network security, and particularly relates to a
network security analysis
system based on an AI
algorithm. Comprising a
data acquisition and preprocessing module, an abnormal behavior characteristic index construction module, a safety mode evolution law index construction module and a
threat risk comprehensive evaluation module. According to the
system, multi-source heterogeneous data such as network flow, equipment logs,
threat intelligence and user behaviors are analyzed through
deep learning, a graph neural network and an attention mechanism, potential
attack time periods are recognized in real time, the
threat evolution trend is predicted, and dynamic early warning is achieved by fusing multi-dimensional risk factors. Compared with a traditional detection mode based on rules, the method has higher unknown threat detection capacity,
interpretability and real-time performance, the
network security protection level can be greatly improved, and the method is suitable for various
complex network environments.