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Locating Malicious Agents in Mobile Wireless Sensor Networks

  • Conference paper
PRIMA 2014: Principles and Practice of Multi-Agent Systems (PRIMA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8861))

  • 1270 Accesses

Abstract

A compromised node in wireless sensor networks can be used to create false messages by generating them on their own or by fabricating legitimate messages received from other nodes. Our goal is to locate the compromised nodes that create false messages. Existing studies can only be used in situations where sensor nodes do not move. However, it is possible that nodes move because of wind or other factors in real situations. We improve existing studies for detecting compromised nodes in mobile wireless sensor networks. In the proposed method, an agent exists on each node and it appends its ID and a k-bit code to an event message and the sink detects a compromised node by a statistical method. Our method can be used in static and dynamic environments. Simulations we conducted prove the effectiveness of our method.

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Author information

Authors and Affiliations

  1. Graduate School of Information Systems, The University of Electro-Communications, Tokyo, Japan

    Yuichi Sei & Akihiko Ohsuga

Authors
  1. Yuichi Sei
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  2. Akihiko Ohsuga
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, University of Wollongong, Northfields Avenue, 2522, Wollongong, NSW, Australia

    Hoa Khanh Dam

  2. Imperial College, SW7 2BT, London, UK

    Jeremy Pitt

  3. University of Electronic Science and Technology of China, 610051, Chengdu, Sichuan, China

    Yang Xu

  4. NICTA Queensland Research Laboratory, GPO Box 2434, 4001, Brisbane, QLD, Australia

    Guido Governatori

  5. Nagoya Institute of Technology, Gokiso-cho, 466-8555, Showa-ku, Nagoya, Japan

    Takayuki Ito

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© 2014 Springer International Publishing Switzerland

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Sei, Y., Ohsuga, A. (2014). Locating Malicious Agents in Mobile Wireless Sensor Networks. In: Dam, H.K., Pitt, J., Xu, Y., Governatori, G., Ito, T. (eds) PRIMA 2014: Principles and Practice of Multi-Agent Systems. PRIMA 2014. Lecture Notes in Computer Science(), vol 8861. Springer, Cham. https://doi.org/10.1007/978-3-319-13191-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-13191-7_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13190-0

  • Online ISBN: 978-3-319-13191-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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