DocumentCode :
625661
Title :
On Feasibility of Fingerprinting Wireless Sensor Nodes Using Physical Properties
Author :
Xiaowei Mei ; Donggang Liu ; Kun Sun ; Dingbang Xu
Author_Institution :
Comput. Sci. & Eng. Dept., Univ. of Texas at Arlington, Arlington, TX, USA
fYear :
2013
fDate :
20-24 May 2013
Firstpage :
1112
Lastpage :
1121
Abstract :
Fingerprinting wireless devices using physical properties has been recently suggested as an alternative for device identification and authentication. It has been found that the clock skew caused by the frequency discrepancy of the quartz crystals in different devices can be used as a reliable source for fingerprinting. Researchers have studied the application of the clock skew-based fingerprinting in sensor networks and claimed that it can detect fake identities, wormholes, and node replicas. However, the study in this paper draws a completely opposite conclusion, i.e., the clock skew of sensor nodes can be easily forged by adversaries to evade the detection. This paper then studies the feasibility of using the distribution of signal power in space to fingerprint sensor nodes. The result shows that a sensor node´s signal power distribution in space is not only reliable for being used as a source for fingerprinting but also very hard to forge. Finally, the paper discusses the application of using signal power distribution for detecting various attacks as well as the limitations and open problems.
Keywords :
clocks; quartz; signal detection; telecommunication security; wireless sensor networks; clock skew based fingerprinting; device authentication; device identification; fake identities; node replicas; quartz crystals; signal power distribution; wireless sensor node fingerprinting; wormholes; Authentication; Clocks; Cryptography; Equations; Estimation; Reliability; Standards; Sensor network; authentication; clock skew; fingerprinting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel & Distributed Processing (IPDPS), 2013 IEEE 27th International Symposium on
Conference_Location :
Boston, MA
ISSN :
1530-2075
Print_ISBN :
978-1-4673-6066-1
Type :
conf
DOI :
10.1109/IPDPS.2013.15
Filename :
6569889
Link To Document :
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