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An Inducing Localization Scheme for Reactive Jammer in ZigBee Networks

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Book cover Science of Cyber Security (SciSec 2018)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11287))

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Abstract

Reactive Jamming attack could severely disrupt the communications in ZigBee networks, which will have an evident jamming effect on the transmissions in a hard-to-detect manner. Therefore, after analyzing the general process of reactive jamming, we develop a lightweight reactive jammer localization scheme, called IndLoc, which is applicable to ZigBee networks. In this scheme, we first design the time-varying mask code (TVMC) to protect the transmission of the packets to ensure that the jammer cannot monitor the channel effectively. Then, the strength of jamming signal (JSS) could be collected by sending inducing messages into the channel. And the location of the jammer can be estimated through the locations of JSS peak nodes, which are selected according to the gradient ascent algorithm. Experiments are performed based on an open-source stack, msstatePAN. And the results reveal that IndLoc could effectively protect the transmissions of the packets and achieve relatively higher localization accuracy under different network scenarios with fewer calculation and storage overheads.

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Authors and Affiliations

  1. Zhengzhou Information Science and Technology Institute, Zhengzhou, 450001, China

    Kuan He & Bin Yu

Authors
  1. Kuan He
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  2. Bin Yu
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Correspondence to Kuan He .

Editor information

Editors and Affiliations

  1. Institute of Information Engineering and School of Cybersecurity University of Chinese Academy of Sciences, Beijing, China

    Feng Liu

  2. The University of Texas at San Antonio, San Antonio, TX, USA

    Shouhuai Xu

  3. Google and Columbia University, New York, NY, USA

    Moti Yung

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He, K., Yu, B. (2018). An Inducing Localization Scheme for Reactive Jammer in ZigBee Networks. In: Liu, F., Xu, S., Yung, M. (eds) Science of Cyber Security. SciSec 2018. Lecture Notes in Computer Science(), vol 11287. Springer, Cham. https://doi.org/10.1007/978-3-030-03026-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-03026-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03025-4

  • Online ISBN: 978-3-030-03026-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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