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Performance Analysis and Classification of Node Capture Attack Models in WSN

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Advanced Informatics for Computing Research (ICAICR 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1394))

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Abstract

Wireless sensor networks (WSN) is a network grid of several self organizing, free, low prices, low control, and functional sensor nodes. The application of these networks in military systems, battlefields, environmental monitoring, smart buildings, and health care exposing the sensor nodes to a variety of physical security attacks. The node capturing attack is the most significant attack. In this attack, the adversary physically catches nodes and extracts the confidential data from the memory of nodes. Thus, analysis of adversary behavior becomes very important in designing different defensive mechanisms for WSNs. The paper presents an exhaustive survey on several node capture attack models in the sensor network. The simulation results compare their performance such in energy cost, attacking rounds, and traffic compromise.

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Authors and Affiliations

  1. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Yamunanagar, India

    Rohit Bathla

  2. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Kurukshetra, India

    Priyanka Ahlawat

Authors
  1. Rohit Bathla
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  2. Priyanka Ahlawat
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Corresponding author

Correspondence to Rohit Bathla .

Editor information

Editors and Affiliations

  1. Papua New Guinea University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Hawari Bin Ghazali

  4. University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

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Bathla, R., Ahlawat, P. (2021). Performance Analysis and Classification of Node Capture Attack Models in WSN. In: Luhach, A.K., Jat, D.S., Bin Ghazali, K.H., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2020. Communications in Computer and Information Science, vol 1394. Springer, Singapore. https://doi.org/10.1007/978-981-16-3653-0_6

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  • DOI: https://doi.org/10.1007/978-981-16-3653-0_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3652-3

  • Online ISBN: 978-981-16-3653-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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