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Wireless Nerve: Invisible Anti-theft System in Wireless Sensor Network

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Web-Age Information Management (WAIM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7419))

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Abstract

There are limitations in traditional anti-theft technologies. All the technologies have a common ground, that is: the devices are exposed to the space, also easily found and destroyed by adversaries. This paper demonstrates a Hidden Anti-theft System (HAS) based on wireless sensor network. The sensors can be hidden in walls and furniture. The intruder influences the transmitting link, and RSSI of the link changes. According to the changes, the system can detect the movement in monitoring area, and keep invisible. HAS is applied in indoor environment. Experiment results show that HAS achieves very low false positive and no false negative.

This work is supported by Program for New Century Excellent Talents in University under grant No.NCET-11-0955, Programs Foundation of Heilongjiang Educational Committee for New Century Excellent Talents in University under grant No.1252-NCET-011, Program for Group of Science and Technology Innovation of Heilongjiang Educational Committee under grant No.2011PYTD002, the Science and Technology Research of Heilongjiang Educational Committee under grant No.12511395, the Science and Technology Innovation Research Project of Harbin for Young Scholar under grant No.2008RFQXG107 and No.2011RFXXG014, the National Natural Science Foundation of China under grant No.61070193, 61100032, 60803015, Heilongjiang Province Founds for Distinguished Young Scientists under Grant No.JC201104, Heilongjiang Province Science and Technique Foundation under Grant No.GC09A109, Basal Research Fund of Xiamen University under Grant No.2010121072.

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© 2012 Springer-Verlag Berlin Heidelberg

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Ren, M., Duan, J., Qu, H., Wang, X., Du, L. (2012). Wireless Nerve: Invisible Anti-theft System in Wireless Sensor Network. In: Bao, Z., et al. Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33050-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-33050-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33049-0

  • Online ISBN: 978-3-642-33050-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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