Background:
Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform.
Objective:
This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform.
Method:
Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines.
Results:
we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy.
Conclusion:
After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.
Enhancing Energy-Efficient and QoS Dynamic Virtual Machine Consolidation Method in Cloud Environment
