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A Container Migration Method for Edge Environments Based on Malicious Traffic Detection | SpringerLink
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A Container Migration Method for Edge Environments Based on Malicious Traffic Detection

  • Conference paper
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Service Science (ICSS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1844))

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Abstract

Edge computing reduces network latency and improves service responsiveness by bringing services down to the edge. Compared to servers in the cloud center, edge devices are deployed more decentralized. Also, due to size and resource constraints, edge devices are difficult to manage or update security patches uniformly in real time. It makes it easier for malicious traffic to affect the security of the edge environment. In this paper, we propose a container migration method based on malicious traffic detection. We build a graph using the graph structure features of network flows to instantly detect the attacked nodes in the network and obtain the list of container services to be migrated. Considering energy consumption and network load balancing, a genetic algorithm based on non-dominated ranking is used to generate a strategy for container migration for edge networks.

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Author information

Authors and Affiliations

  1. School of Information Engineering, China University of Geosciences (Beijing), Beijing, 100083, China

    Jing Wang, Zhangbing Zhou & Yi Li

  2. Computer Science Department, TELECOM SudParis, Evry, 91001, France

    Zhangbing Zhou

Authors
  1. Jing Wang
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  2. Zhangbing Zhou
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  3. Yi Li
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Corresponding author

Correspondence to Zhangbing Zhou .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, China

    Zhongjie Wang

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

  3. Harbin Institute of Technology, Harbin, China

    Hanchuan Xu

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Wang, J., Zhou, Z., Li, Y. (2023). A Container Migration Method for Edge Environments Based on Malicious Traffic Detection. In: Wang, Z., Wang, S., Xu, H. (eds) Service Science. ICSS 2023. Communications in Computer and Information Science, vol 1844. Springer, Singapore. https://doi.org/10.1007/978-981-99-4402-6_9

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  • DOI: https://doi.org/10.1007/978-981-99-4402-6_9

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  • Print ISBN: 978-981-99-4401-9

  • Online ISBN: 978-981-99-4402-6

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