  Edge computing is providing higher class intelligent service and computing
capabilities at the edge of the network. The aim is to ease the backhaul
impacts and offer an improved user experience, however, the edge artificial
intelligence exacerbates the security of the cloud computing environment due to
the dissociation of data, access control and service stages. In order to
prevent users from using the edge-cloud computing environment to carry out
lateral movement attacks, we proposed a method named CloudSEC meaning real time
lateral movement detection based on evidence reasoning network for the
edge-cloud environment. The concept of vulnerability correlation is introduced.
Based on the vulnerability knowledge and environmental information of the
network system, the evidence reasoning network is constructed, and the lateral
movement reasoning ability provided by the evidence reasoning network is used.
CloudSEC realizes the reconfiguration of the efficient real-time attack
process. The experiment shows that the results are complete and credible.
