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
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