Transient-based identification of wireless sensor nodes

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...

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Vydané v:2009 International Conference on Information Processing in Sensor Networks s. 25 - 36
Hlavní autori: Danev, Boris, Capkun, Srdjan
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Washington, DC, USA IEEE Computer Society 13.04.2009
IEEE
Edícia:ACM Conferences
Predmet:
Communication system security
Cryptographic protocols
Cryptography
Error analysis
Fingerprinting
General and reference > Cross-computing tools and techniques > Performance
Hardware > Communication hardware, interfaces and storage
Message authentication
Networks
Networks > Network services > Network monitoring
Networks > Network types > Mobile networks
Networks > Network types > Wireless access networks
Polarization
Sensor Networks
Sensor phenomena and characterization
Spread spectrum communication
Voltage
Wireless Security
Wireless sensor networks
ISBN:1424451086, 9781424451081
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Popis
Shrnutí: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.
ISBN:1424451086
9781424451081
DOI:10.5555/1602165.1602170