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The blocker tag: selective blocking of RFID tags for consumer privacy

Juels, Ari, Rivest, Ronald L., Szydlo, Michael·2003·Proceedings of the 10th ACM conference on Computer and communications security

Abstract

We propose the use of selective blocking by as a way of protecting consumers from unwanted scanning of RFID tags attached to items they may be carrying or wearing.While an ordinary RFID tag is a simple, cheap (e.g. five-cent) passive device intended as an electronic bar-code for use in supply-chain management, a blocker tag is a cheap passive RFID device that can simulate many ordinary RFID tags simultaneously. When carried by a consumer, a blocker tag thus blocks RFID readers. It can do so universally by simulating all possible RFID tags. Or a blocker tag can block selectively by simulating only selected subsets of ID codes, such as those by a particular manufacturer, or those in a designated zone.We believe that this approach, when used with appropriate care, provides a very attractive alternative for addressing privacy concerns raised by the potential (and likely) widespread use of RFID tags in consumer products.We also discuss possible abuses arising from blocker tags, and means for detecting and dealing with them.

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Metadata

Authors
Juels, A., Rivest, R. L., & Szydlo, M.
Venue
Proceedings of the 10th ACM conference on Computer and communications security
Publisher
ACM
Published
2003-10-27
Pages
103-111
ISSN
1543-7221 (ISSN-L)
OpenAlex
W2036534296
Cited by
807
References
0
FWCI
121.92
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The blocker tag: selective blocking of RFID tags for consumer privacy. https://app.cochat.ai/papers/10.1145/948109.948126
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Juels, A., Rivest, R. L., & Szydlo, M. (2003). The blocker tag: selective blocking of RFID tags for consumer privacy. Proceedings of the 10th ACM conference on Computer and communications security. https://doi.org/10.1145/948109.948126

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.