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  • Neighbor-based Intrusion Detection for Wireless Sensor Networks

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    Author(s)
    Stetsko, Andriy
    Folkman, Lukas
    Matyas, Vashek
    Griffith University Author(s)
    Folkman, Lukas
    Year published
    2010
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    Abstract
    The neighbor-based detection technique explores the principle that sensor nodes situated spatially close to each other tend to have a similar behavior. A node is considered malicious if its behavior significantly differs from its neighbors. This detection technique is localized, unsupervised and adapts to changing network dynamics. Although the technique is promising, it has not been deeply researched in the context of wireless sensor networks yet. In this paper, we present symptoms which can be used in the neighbor-based technique for detection of selective forwarding, jamming and hello flood attacks. We implemented an ...
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    The neighbor-based detection technique explores the principle that sensor nodes situated spatially close to each other tend to have a similar behavior. A node is considered malicious if its behavior significantly differs from its neighbors. This detection technique is localized, unsupervised and adapts to changing network dynamics. Although the technique is promising, it has not been deeply researched in the context of wireless sensor networks yet. In this paper, we present symptoms which can be used in the neighbor-based technique for detection of selective forwarding, jamming and hello flood attacks. We implemented an intrusion detection system which employs the neighbor-based detection technique. The system was designed for and works on the TinyOS operating system running the Collection Tree Protocol. We evaluated accuracy of the technique in the detection of selective forwarding, jamming and hello flood attacks. The results show that the neighbor-based detection technique is highly accurate, especially in the case when collaboration among neighboring nodes is used.
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    Conference Title
    The Sixth International Conference on Wireless and Mobile Communications ICWMC 2010 Proceedings
    DOI
    https://doi.org/10.1109/ICWMC.2010.61
    Copyright Statement
    © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Information and Computing Sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/40039
    Collection
    • Conference outputs

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