Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 327

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Cross-Tenant Side-Channel Attacks in PaaS Clouds

Open access
Zhang, Yinqian, Juels, Ari, Reiter, Michael K., Ristenpart, Thomas·2014·Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security

Abstract

We present a new attack framework for conducting cache-based side-channel attacks and demonstrate this framework in attacks between tenants on commercial Platform-as-a-Service (PaaS) clouds. Our framework uses the FLUSH-RELOAD attack of Gullasch et al. as a primitive, and extends this work by leveraging it within an automaton-driven strategy for tracing a victim's execution. We leverage our framework first to confirm co-location of tenants and then to extract secrets across tenant boundaries. We specifically demonstrate attacks to collect potentially sensitive application data (e.g., the number of items in a shopping cart), to hijack user accounts, and to break SAML single sign-on. To the best of our knowledge, our attacks are the first granular, cross-tenant, side-channel attacks successfully demonstrated on state-of-the-art commercial clouds, PaaS or otherwise.

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 · 10.1145/2660267.2660356

Cites

26 of 26 references verified0 citation errors · 0 not checkable

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

Cites

Show all 26 references

Cited by

See all 327

Metadata

Authors
Zhang, Y., Juels, A., Reiter, M. K., & Ristenpart, T.
Venue
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security
Publisher
ACM
Published
2014-11-03
Pages
990-1003
OpenAlex
W2001759130
Cited by
327
References
26
FWCI
20.75
Type
conference paper
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: Cross-Tenant Side-Channel Attacks in PaaS Clouds. https://app.cochat.ai/papers/10.1145/2660267.2660356
The paper
Zhang, Y., Juels, A., Reiter, M. K., & Ristenpart, T. (2014). Cross-Tenant Side-Channel Attacks in PaaS Clouds. Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. https://doi.org/10.1145/2660267.2660356

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.