NICE: A System to Detecting A DoS In Virtual Machine |
Author(s): |
Kakade Rohini B. , Jaihind College of Engineering,kuran; Jadhav Asmita K., Jaihind College of Engineering,kuran; Bhise Varsha D., Jaihind College of Engineering,kuran; Prof.C.S.Aryan, Jaihind College of Engineering,kuran |
Keywords: |
Cloud Computing, Scenario Attack Graph, Correlation, Network Analyzer, Intrusion, Zombies |
Abstract |
Cloud computing is getting popular now a days. Use of cloud is increase daily. As in the cloud environment resources such as OS virtual machines, software is shared by billions of users of the cloud. The virtual machines resides on the cloud are more vulnerable to the denial of service attack. If these machines are connected to more achiness then it becomes more dangerous as it harms all cloud networks. In the cloud especially infrastructure as a service the detection of denial of service attack is more challenging task. This is due to cloud users can install vulnerable software on the virtual machines. In this paper we have proposed multiphase vulnerability detection in the cloud environment. We have proposed an open flow network program NICE to detect and mitigate the attacks on the virtual machines. NICE is built on the scenario attack graph based model. We have proposed a novel approach to mitigate the attacks in the cloud environment by selecting different countermeasure depending upon the percentages of vulnerability of the virtual machines. Now a day IDS is used to detect the attack in the network by many organizations. In the proposed system we focus on the distributed denial of service attack in the cloud. |
Other Details |
Paper ID: IJSRDV3I80106 Published in: Volume : 3, Issue : 8 Publication Date: 01/11/2015 Page(s): 212-215 |
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