DocumentCode :
498771
Title :
Transient-based identification of wireless sensor nodes
Author :
Danev, Boris ; Capkun, Srdjan
Author_Institution :
Syst. Security Group, ETH Zurich, Zurich, Switzerland
fYear :
2009
fDate :
13-16 April 2009
Firstpage :
25
Lastpage :
36
Abstract :
Identification of wireless sensor nodes based on the characteristics of their radio transmissions can provide an additional layer of security in all-wireless multi-hop sensor networks. Reliable identification can be means for the detection and/or prevention of wormhole, Sybil and replication attacks, and can complement cryptographic message authentication protocols. In this paper, we investigate the feasibility of transient-based identification of CC2420 wireless sensor nodes. We propose a new technique for transient-based identification and show that it enables reliable and accurate sensor node recognition with an equal error rate as low as 0.0024 (0.24%). We investigate the performance of our technique in terms of parameters such as distance, antenna polarization and voltage and analyze how these parameters affect the recognition accuracy. Finally, we study the feasibility of certain types of impersonation attacks on the proposed technique.
Keywords :
cryptographic protocols; message authentication; telecommunication network reliability; telecommunication security; wireless sensor networks; Sybil attack; all-wireless multihop sensor network security; cryptographic message authentication protocol; equal error rate; radio transmission; reliable identification; replication attack; transient-based identification; wireless sensor node identification; wormhole attack; Communication system security; Cryptographic protocols; Cryptography; Error analysis; Message authentication; Polarization; Sensor phenomena and characterization; Spread spectrum communication; Voltage; Wireless sensor networks; Fingerprinting; Sensor Networks; Wireless Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-5108-1
Electronic_ISBN :
978-1-60558-371-6
Type :
conf
Filename :
5211943
Link To Document :
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