The application relates to the technical field of terminal security, in particular to a game security real-time
monitoring system based on
artificial intelligence and
big data, which comprises a time beat monitoring module, which is used for extracting a
game client reading time tag instruction value, dividing the reading time tag instruction value by a
processor frequency value, obtaining a hardware beat period number, and extracting an
operating system process
system time return value. In the application, local tampering intrusion events and current
game client running time steps are extracted, a replacement reset action is implemented to generate a
countermeasure reset time beat, a conventional
system interface calling operation is directly discarded for a kernel
communication link, communication connection is forced to be switched to a more bottom-layer
system calling interface, a connection request packet data is issued under the
countermeasure reset time beat, and a local intrusion takeover feedback instruction is acquired, control right is seized at the bottom layer of the
operating system, a malicious process intervention path is
cut off, and real-time
countermeasure success rate in a high confrontation interactive scene is improved.