Dynamic fault diagnosis framework for virtual machine rolling upgrade operation in google cloud platform

Author(s):  
A. Cauveri ◽  
R. Kalpana
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Daoxing Li ◽  
Jing Zeng

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.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 65065-65077 ◽  
Author(s):  
Shigang Zhang ◽  
Xu Luo ◽  
Yongmin Yang ◽  
Long Wang ◽  
Xiaofei Zhang

2014 ◽  
Vol 530-531 ◽  
pp. 667-670
Author(s):  
Ke Ming Chen

In order to ensure that the cloud platform client runtime kernel virtual machine security, this paper proposes a new framework for dynamic monitoring of virtual machines, it is for the kernel rootkit attacks, study the cloud client virtual machine operating system kernel safety, presented Hyperchk virtual machine dynamic monitoring framework. This framework mainly for kernel rootkit attacks, ensure that customers running virtual machine kernel security.


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