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Detecting identity-based attacks in wireless networks using signalprints

Faria, Daniel B., Cheriton, David R.·2006·Proceedings of the 5th ACM workshop on Wireless security

Abstract

Wireless networks are vulnerable to many identity-based attacks in which a malicious device uses forged MAC addresses to masquerade as a specific client or to create multiple illegitimate identities. For example, several link-layer services in IEEE 802.11 networks have been shown to be vulnerable to such attacks even when 802.11i/1X and other security mechanisms are deployed. In this paper we show that a transmitting device can be robustly identified by its signalprint, a tuple of signal strength values reported by access points acting as sensors. We show that, different from MAC addresses or other packet contents, attackers do not have as much control regarding the signalprints they produce. Moreover, using measurements in a testbed network, we demonstrate that signalprints are strongly correlated with the physical location of clients, with similar values found mostly in close proximity. By tagging suspicious packets with their corresponding signalprints, the network is able to robustly identify each transmitter independently of packet contents, allowing detection of a large class of identity-based attacks with high probability.

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Metadata

Authors
Faria, D. B., & Cheriton, D. R.
Venue
Proceedings of the 5th ACM workshop on Wireless security
Publisher
ACM
Published
2006-09-28
Pages
43-52
OpenAlex
W2155899844
Cited by
299
References
13
FWCI
13.29
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Detecting identity-based attacks in wireless networks using signalprints. https://app.cochat.ai/papers/10.1145/1161289.1161298
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Faria, D. B., & Cheriton, D. R. (2006). Detecting identity-based attacks in wireless networks using signalprints. Proceedings of the 5th ACM workshop on Wireless security. https://doi.org/10.1145/1161289.1161298

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