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Research on Distributed Anomaly Traffic Detection Technology Based on Hadoop Platform

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Bio-inspired Computing – Theories and Applications (BIC-TA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 682))

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Abstract

Cloud security is one of the issues that cloud platform needs to focus on. Cloud platform has powerful computing ability and storage resources, which makes it become the target of hackers. Therefore, in addition to the traditional network security configuration, it is necessary to adopt a more complete security defense measure to protect the data processing platform. In this paper, it proposes a distributed anomaly traffic detection technology based on classifier combination according to the characteristics of massive network data processing in Hadoop platform, which can improve the security of massive network data processing platform.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Guangdong University of Science and Technology, Dongguan, 523083, Guangdong, China

    Qiang Chen

Authors
  1. Qiang Chen
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Corresponding author

Correspondence to Qiang Chen .

Editor information

Editors and Affiliations

  1. Xidian University , Xi’an, China

    Maoguo Gong

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. China University of Petroleum, Qingdao, China

    Tao Song

  4. Southwest Jiaotong University , Chengdu, China

    Gexiang Zhang

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© 2016 Springer Nature Singapore Pte Ltd.

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Chen, Q. (2016). Research on Distributed Anomaly Traffic Detection Technology Based on Hadoop Platform. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_66

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  • DOI: https://doi.org/10.1007/978-981-10-3614-9_66

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3613-2

  • Online ISBN: 978-981-10-3614-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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