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Yingshu Li, My T. Thai, and Weili Wu

"Wireless Sensor Networks and Applications"

In this case the characterization may need to be
broadened or restricted. The impact of these elements on the power spectrum
may also require a technique other than establishing a set F of top frequencies
to have a more robust comparison.
Also, other time attributes of a stream, such as the inter-packet delay and
variations in inter-packet delay can be considered, as well as management
and control frames. Considering more elements will improve the stability and
robustness of the presented approach.
440
Chapter 18 Unauthorized Sensor Node Identification
References
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2004.pdf.
3. Intel, http://www.intel.com/research/exploratory/ heterogeneous.htm.
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on Information Processing in Sensor Networks (IPSN 2005), 2005.
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tute, ISI-TR-2003-577b, 2003.
6. W. Richard Stevens, Unix Network Programming, Prentice Hall, 1998.
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Hall, 1989.
8.
Wireless Security (WiSe), Atlanta, GA, 2002.
9.
fense against DoS attacks, IEEE GLOBECOM, 2002.
10. M. Lacage, M. Manshaei and T. Turletti, IEEE 802.11 Rate Adaption: A Practical
Approach, ACM/IEEE MSWIM, Venice, Italy, 2004.
11. Tadayoshi Kohno, Andre Briodo and KC Cla?®y, Remote physical device finger-
108, 2005.
12. Jeyanthi Hall, Michel Barbeau and Evangelos Kranakis, Detection of Transient
Technology (CIIT), 2004.
13. www.decodesystems.com/mt/97dec/.
14. iPass, www.ipass.com/services/services deviceid.html.
15. Wimetrics, www.wimetrics.com.
16. Joshua Wright, Detecting Wireless LAN MAC Address Spoofing,
home.


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