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VMFence: a customized intrusion prevention system in distributed virtual computing environment
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Source Conference On Ubiquitous Information Management And Communication archive
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication table of contents
Suwon, Korea
SESSION: Systems and applicataions III table of contents
Pages 391-399  
Year of Publication: 2009
ISBN:978-1-60558-405-8
Authors
Hai Jin  Huazhong University of Science and Technology, Wuhan, China
Guofu Xiang  Huazhong University of Science and Technology, Wuhan, China
Feng Zhao  Huazhong University of Science and Technology, Wuhan, China
Deqing Zou  Huazhong University of Science and Technology, Wuhan, China
Min Li  Huazhong University of Science and Technology, Wuhan, China
Lei Shi  Huazhong University of Science and Technology, Wuhan, China
Sponsor
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Intrusion Prevention System (IPS) has been an effective tool to detect and prevent unwanted attempts, which are mainly through network and system vulnerabilities, at accessing and manipulating computer systems. Intrusion detection and prevention are two main functions of IPS. As attacks are becoming massive and complex, the traditional centralized IPSes are incapable of detecting all those attempts. The existing distributed IPSes, mainly based on mobile agent, have some serious problems, such as weak security of mobile agents, response latency, large code size. In this paper, we propose a customized intrusion prevention system, VMFence, in distributed virtual computing environment to simplify the complexity of the management. In VMFence, the states of detection processes vary with those of Virtual Machines (VMs), which are described by Deterministic Finite Automata (DFA). The detection processes, each of which detects one virtual machine, reside in a privileged virtual machine. The processes run synchronously and outside of VMs in order to achieve high performance and security. The experimental results also show VMFence has higher detection efficiency than traditional intrusion detection systems and little impact on the performance of the monitored VMs.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Hai Jin: colleagues
Guofu Xiang: colleagues
Feng Zhao: colleagues
Deqing Zou: colleagues
Min Li: colleagues
Lei Shi: colleagues