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Defenses Against Wormhole Attacks in Wireless Sensor Networks

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Network and System Security (NSS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10394))

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Abstract

Based on analyzing the characteristics of wormhole attacks in the wireless sensor networks, this paper proposes two kinds of defense strategies, which are based on monitoring neighbor node and node location information, in order to achieve effective defense against wormhole attacks using packet encapsulation. We simulate the running state of the static wireless sensor network under normal conditions and under the wormhole attack by using OMNeT++ simulation platform. And the network running process under wormhole attack is simulated in the case of applying the defense strategy based on monitoring neighbor node and the defense strategy based on node location information respectively. By analyzing the specific defense effect, the simulation results highlight the effectiveness of the proposed defense strategy.

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Acknowledgment

This work was supported by National Key R&D Program of China (No. 2016YFB0800700).

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Authors and Affiliations

  1. Beijing Key Laboratory of Software Security Engineering Technology, School of Software, Beijing Institute of Technology, Beijing, China

    Rui Ma, Siyu Chen, Changzhen Hu & Xiajing Wang

  2. Internet Center, Institute of Communication Standard Research, China Academy of Information and Communication Technology, Beijing, China

    Ke Ma

Authors
  1. Rui Ma
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  2. Siyu Chen
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  3. Ke Ma
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  4. Changzhen Hu
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  5. Xiajing Wang
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Corresponding author

Correspondence to Ke Ma .

Editor information

Editors and Affiliations

  1. Xidian University, Xi’an, China

    Zheng Yan

  2. Eurecom, Sophia Antipolos, Valbonne, France

    Refik Molva

  3. Warsaw University of Technology, Warsaw, Poland

    Wojciech Mazurczyk

  4. Aalto University, Espoo, Finland

    Raimo Kantola

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Ma, R., Chen, S., Ma, K., Hu, C., Wang, X. (2017). Defenses Against Wormhole Attacks in Wireless Sensor Networks. In: Yan, Z., Molva, R., Mazurczyk, W., Kantola, R. (eds) Network and System Security. NSS 2017. Lecture Notes in Computer Science(), vol 10394. Springer, Cham. https://doi.org/10.1007/978-3-319-64701-2_30

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  • DOI: https://doi.org/10.1007/978-3-319-64701-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64700-5

  • Online ISBN: 978-3-319-64701-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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