The DOI matches its Crossref record.
The blocker tag: selective blocking of RFID tags for consumer privacy
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
RFID security and privacy: a research survey
Juels, A. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.861395 · Cited by 1,911
Self-citationSuitability of NFC for Medical Device Communication and Power Delivery
Freudenthal, E., Herrera, D., Kautz, F., Natividad, C., Ogrey, A., Sipla, J., Sosa, A., Betancourt, C., & Estevez, L. (2007) · 2007 IEEE Dallas Engineering in Medicine and Biology Workshop · doi:10.1109/embsw.2007.4454171 · Cited by 29
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The blocker tag: selective blocking of RFID tags for consumer privacy. https://app.cochat.ai/papers/10.1145/948109.948126
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.