DocumentCode
3016282
Title
Malicious node detection via physical layer data
Author
Hardy, Tyler J. ; Martin, Richard K. ; Thomas, Ryan W.
Author_Institution
Dept. of Elec. & Comp. Eng., Air Force Inst. of Technol., Wright Patterson AFB, OH, USA
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
1432
Lastpage
1436
Abstract
There are many mechanisms that can cause inadequate or unreliable information in sensor networks. A user of the network might be interested in detecting and classifying specific sensors nodes causing these problems. There are many network layer based trust mechanisms in the literature to assess these issues; in contrast this work develops physical layer based trust metrics to detect non-functioning nodes. The context will be “wireless network discovery,” which refers to modeling all layers of a non-cooperative wireless network. In particular, the localization of transmitters and the detection of sensors affecting the localization. A model for non-functioning sensors and two methods of detection are developed. The methods of detection are analyzed with Receiver Operating Characteristic (ROC) curves, and the sensor node trade-off of detection versus localization error is discussed.
Keywords
mean square error methods; object detection; wireless sensor networks; ROC curves; malicious node detection; noncooperative wireless network; nonfunctioning nodes; physical layer data; receiver operating characteristic curves; sensor networks; sensors nodes; wireless network discovery; Maximum likelihood estimation; Measurement; Noise; Physical layer; Tin; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-9722-5
Type
conf
DOI
10.1109/ACSSC.2010.5757772
Filename
5757772
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