Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 286

The DOI matches its Crossref record.

Anonymous Web transactions with Crowds

Open access
Reiter, Michael K., Rubin, Aviel D.·1999·Communications of the ACM

Abstract

The article presents a system called Crowds that enables the retrieval of information over the Web without revealing so much potentially private information to several parties. The goal of Crowds is to make browsing anonymous, so that information about either the user or what information he or she retrieves is hidden from Web servers and other parties. It prevents a Web server from learning any potentially identifying information about the user, including even the user's Internet protocol address or domain name. Crowds also prevents Web servers from learning a variety of other information, such as the page that referred the user to its site or the user's computing platform. Crowds provides users with the ability to retrieve Web content anonymously. It offers strong anonymity properties that are well suited for Web transactions and does so in the face of a broader range of adversaries than proxy-based anonymizers do. It provides complementary protections when the party of concern can directly monitor messages from the user's machine.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/293411.293778

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 286

Metadata

Authors
Reiter, M. K., & Rubin, A. D.
Venue
Communications of the ACM
Published
1999-02
Volume
42
Issue
2
Pages
32-48
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2009172815
Cited by
286
References
0
FWCI
13.02
Type
journal article
Language
en
Open access
bronze

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: Anonymous Web transactions with Crowds. https://app.cochat.ai/papers/10.1145/293411.293778
The paper
Reiter, M. K., & Rubin, A. D. (1999). Anonymous Web transactions with Crowds. Communications of the ACM. https://doi.org/10.1145/293411.293778

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.