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An Anomaly Detection Algorithm for Detecting Attacks in Wireless Sensor Networks

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Intelligence and Security Informatics (ISI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3975))

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Abstract

Wireless sensor networks (WSNs) consisting of thousands of sensor nodes have many potential applications nowadays from temperature, light monitoring in a smart house to detecting enemy’s movement in a battle field. In most cases, sensor networks are deployed in open and unprotected environments so it is very attractive to adversaries. Although some preventive mechanisms were proposed and installed, they do not guarantee the security of sensor networks one hundred percent. Thus, it is necessary to have some mechanisms of intrusion detection as a second protecting wall to prevent intruders from causing damages to the networks.

This work was supported by IITA Professorship for Visiting Faculty Position in Korea from Ministry of Information and Communications. Dr. Young-Koo Lee is the corresponding author.

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© 2006 Springer-Verlag Berlin Heidelberg

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Van Phuong, T., Hung, L.X., Cho, S.J., Lee, YK., Lee, S. (2006). An Anomaly Detection Algorithm for Detecting Attacks in Wireless Sensor Networks. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_111

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  • DOI: https://doi.org/10.1007/11760146_111

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34478-0

  • Online ISBN: 978-3-540-34479-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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