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International Conference on Security and Privacy in Digital Economy

SPDE 2020: Security and Privacy in Digital Economy pp 19–32Cite as

Trusted Link-Separation Multipath Selection for Software-Defined Wireless Sensor Networks in Adversarial Environments

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1268))

Abstract

Compared to conventional Wireless Sensor Networks (WSNs), Software-Defined WSNs (SD-WSNs) introduce the software defined networking (SDN) paradigm to offer more adaptivity, flexibility and scalability. Research on reliable and trusted routing for SD-WSNs is a fundamental but very challenging task due to their unstable wireless connectivity, low security assurance and diverse inner adversaries. Hence, we propose a trusted link-separation multipath selection method for SD-WSNs in adversarial environments by jointly considering routing efficiency and security. Specifically, we introduce a Bayesian model to evaluate the nodes’ trustworthiness based on their communication behaviors. After that, we formulate the trusted link-separation multipath selection as a multi-objective optimization problem. Then, we generate k trusted link-separation paths by solving the optimization problem using a greedy algorithm. Comparative experiments using six different topologies, including three random networks (Waxman, ER random graphs, and WS small-world topologies) and three real ones (Cernet, Bandcon, and DFN), validate the superior performance of the proposed method compared with the delay-first and the trust-first baseline routing schemes.

The corresponding author of this paper is Qiang Liu. The work is supported by National Key Research and Development Program of China (No. 2018YFB0204301), National Natural Science Foundation of China (No. 61702539 and U1811462), Hunan Provincial Natural Science Foundation of China (No. 2018JJ3611), and NUDT Research Project (No. ZK-18-03-47).

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Notes

  1. 1.

    Access URL: http://www.topology-zoo.org/files/Cernet.gml.

  2. 2.

    Access URL: http://www.topology-zoo.org/files/Bandcon.gml.

  3. 3.

    Access URL: http://www.topology-zoo.org/files/Dfn.gml.

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Author information

Authors and Affiliations

  1. College of Computer, National University of Defense Technology, Changsha, 410000, Hunan, China

    Pu Zhao, Wentao Zhao, Qiang Liu & Anbang Wang

Authors
  1. Pu Zhao
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  2. Wentao Zhao
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  3. Qiang Liu
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  4. Anbang Wang
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Corresponding author

Correspondence to Qiang Liu .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shui Yu

  2. IBM Zurich Research Laboratory, Zurich, Switzerland

    Peter Mueller

  3. Ningbo University, Ningbo, China

    Jiangbo Qian

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Zhao, P., Zhao, W., Liu, Q., Wang, A. (2020). Trusted Link-Separation Multipath Selection for Software-Defined Wireless Sensor Networks in Adversarial Environments. In: Yu, S., Mueller, P., Qian, J. (eds) Security and Privacy in Digital Economy. SPDE 2020. Communications in Computer and Information Science, vol 1268. Springer, Singapore. https://doi.org/10.1007/978-981-15-9129-7_2

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  • DOI: https://doi.org/10.1007/978-981-15-9129-7_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9128-0

  • Online ISBN: 978-981-15-9129-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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