The invention discloses a
situation awareness method based on brain-like calculation, and the method comprises the steps: obtaining state operation data, finding threats from the interior and exterior according to the state operation data, and carrying out the analysis and response of the threats; and determining mining abnormal intrusion information by analyzing the threats, auditing key data of a
service system, and realizing corresponding functions by adopting a brain-like computing platform. According to the method,
automatic learning, modeling and analysis are carried out from data to form a rule, and network situation assessment, network
threat assessment and network situation prediction are carried out on the network space by using the rule, so that the security condition of the network space is visible, known, manageable, controllable, traceable and early-warning. A multi-level, multi-angle, multi-
granularity, complete and detailed security
situation awareness platform based on human,
machine, object and other resource objects, a space-
time range, an association relationship and other elements is constructed.