scholarly journals Research on Open Virtual Simulation Experiment Teaching Model Based on Cloud Platform in Network Security

Author(s):  
Liu Li ◽  
Guoqiang Li ◽  
Linhua Ding ◽  
Jiuru Wang
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.


2014 ◽  
Vol 543-547 ◽  
pp. 4198-4201
Author(s):  
Xiao Guang Li ◽  
Zhan Jun Gao

Mobile agent is one of the most prominent technologies believed to be playing an important role in future e-commerce. After presented an intelligent e-commerce model based on OBI ( open buying on the internet) , we developed a modified approach for the security of mobile agents and e-commerce, and designed an intelligent shopping algorithm based on variable time negotiation function. The presented model has been evaluated by simulation experiment. It has been found that the presented model is efficient.


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