The invention provides a
data security risk early warning method and
system based on
big data analysis, and the method comprises the steps: firstly constructing a
data security risk feature map, collecting a heterogeneous
data set in a
mobile communication network in real time through a multi-
source data access interface, generating a multi-source heterogeneous data fusion
stream through distributed cleaning and
standardization processing, and carrying out the
data security risk early warning. Then inputting the data security risk feature into a preset distributed risk
feature learning network, performing
feature mapping and association enhancement
processing based on a data security risk feature map to obtain a real-time risk
feature vector, performing
big data association analysis on the real-time risk
feature vector, mining a risk feature conduction dependency relationship, generating a risk propagation path weight set, and performing
big data association analysis on the real-time risk
feature vector; and finally, determining a risk
diffusion level and a key influence node, generating a security risk early warning instruction containing a risk
diffusion path identifier, and pushing the security risk early warning instruction to a mobile communication
security management platform, thereby realizing accurate early warning and quick response of the data security risk, and ensuring safe and stable operation of a
mobile communication network.