The invention belongs to the technical field of IPv6
situation awareness, and relates to an IPv6 address network space
situation awareness method based on data collection, which comprises the following steps: acquiring active
IP address and
service information,
domain name registration information and geographic position data by collecting
network data; then the data are preprocessed, the preprocessed data are processed based on a Spark
big data analysis tool, and abnormal traffic behaviors are identified from the preprocessed data; on the basis, behaviors of the IPv6 address are classified by using a
support vector machine (SVM) model, and potential threats are identified. And further analyzing the spatial and temporal distribution condition of the network event in combination with the geographic position and the
timestamp data. And finally, based on the identified abnormal traffic behavior, the potential
threat and the spatial-temporal distribution thereof, constructing a dynamic
situation awareness chart by using an Echarts
visualization tool, and visually displaying the overall security situation of the IPv6 network. According to the method, through multi-
level data processing and analysis, the
security monitoring and response capability of the IPv6 network is comprehensively improved.