Journal on Communications ›› 2016, Vol. 37 ›› Issue (Z1): 204-210.doi: 10.11959/j.issn.1000-436x.2016268

• Correspondences • Previous Articles     Next Articles

Research on DDoS detection in multi-tenant cloud based on entropy change

Miao WANG1,2,Li-ming WANG1,Zhen XU1,Duo-he MA1   

  1. 1 State Key Laboratory of Information Security,Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100093,China
    2 College of Cyberspace Security,University of Chinese Academy of Sciences,Beijing 100049,China
  • Online:2016-10-25 Published:2017-01-17
  • Supported by:
    The National High Technology Research and Development Program of China (863 Program);Strategic Priority Research Program of the Chinese Academy of Sciences;Strategic Priority Research Program of the Chinese Academy of Sciences

Abstract:

An attacker compromised a number of VMs in the cloud to form his own network to launch a powerful distrib-uted denial of service (DDoS) attack.DDoS attack is a serious threat to multi-tenant cloud.It is difficult to detect which VM in the cloud are compromised and what is the attack target,especially when the VM in the cloud is the victim.A DDoS detection method was presented suitable for multi-tenant cloud environment by identifying the malicious VM at-tack sources first and then the victims.A distributed detection framework was proposed.The distributed agent detects the suspicious VM which generate the potential DDoS attack traffic flows on the source side.A central server confirms the real attack flows.The feasibility and effectiveness of the proposed detection method are verified by experiments in the multi-tenant cloud environment.

Key words: DDoS attack, detection, multi-tenant, cloud computing system, entropy

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