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Second International Conference on Cloud Computing and Big Data in Asia

CloudCom-Asia 2015: Cloud Computing and Big Data pp 386–398Cite as

Novel Intrusion Detection System for Cloud Computing: A Case Study

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9106))

Abstract

Because of the growth in cloud computing and manturity of virtualization technology, many enterprises are virtualizing their servers to increase server utilization and lower costs. However, the complex network topology arising from virtualization makes clouds vulnerable, and security breaches have occurred on cloud computing platforms in recent years. Therefore, a comprehensive mechanism for detecting and preventing malicious traffic is necessary. We propose a network intrusion detection system that is based on a virtualization platform. This system, developed from a multipattern based network traffic classifier, collects packets from the virtual network environment and analyzes their content by using deep packet inspection for identifying malicious network traffic and intrusion attempts. We improve the intrusion detection features of the network traffic classifier and deploy it on a Xen virtualization platform. Our system can be combined with the Linux Netfilter framework to monitor inter-virtual-machine communications in the virtualization platform. It efficiently inspects packets and instantly protects the cloud computing environment from malicious traffic.

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Acknowledgement

This research was supported by a grant from the Ministry of Science and Technology, Taiwan, Republic of China, under Grants MOST-103-2221-E-006-145-MY3 and MOST-103-2811-E-006-049, for which we are grateful.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan, ROC

    Ming-Yi Liao, Zhi-Kai Mo & Chu-Sing Yang

  2. Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROC

    Mon-Yen Luo

  3. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC

    Jiann-Liang Chen

Authors
  1. Ming-Yi Liao
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  2. Zhi-Kai Mo
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  3. Mon-Yen Luo
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  4. Chu-Sing Yang
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  5. Jiann-Liang Chen
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Corresponding author

Correspondence to Ming-Yi Liao .

Editor information

Editors and Affiliations

  1. School of Computer Science and Tech., Huazhong Univ. of Science and Technology, Wuhan, China

    Weizhong Qiang

  2. College of Mathematics and Computer Sci., Fuzhou University, Fuzhou, China

    Xianghan Zheng

  3. Dept. of Computer Scie and Informat. Eng, Chung Hua University, Hsinchu, Taiwan

    Ching-Hsien Hsu

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© 2015 Springer International Publishing Switzerland

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Liao, MY., Mo, ZK., Luo, MY., Yang, CS., Chen, JL. (2015). Novel Intrusion Detection System for Cloud Computing: A Case Study. In: Qiang, W., Zheng, X., Hsu, CH. (eds) Cloud Computing and Big Data. CloudCom-Asia 2015. Lecture Notes in Computer Science(), vol 9106. Springer, Cham. https://doi.org/10.1007/978-3-319-28430-9_29

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  • DOI: https://doi.org/10.1007/978-3-319-28430-9_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28429-3

  • Online ISBN: 978-3-319-28430-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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