The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Efficient Lattice (H)IBE in the Standard Model
Open accessOverview
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
Cites
On lattices, learning with errors, random linear codes, and cryptography
Regev, O. (2009) · Journal of the ACM · doi:10.1145/1568318.1568324 · Cited by 2,315
Cited by
Efficient Fully Homomorphic Encryption from (Standard) LWE
Brakerski, Z., & Vaikuntanathan, V. (2011) · 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2011.12 · Cited by 1,449
On Ideal Lattices and Learning with Errors over Rings
Lyubashevsky, V., Peikert, C., & Regev, O. (2013) · Journal of the ACM · doi:10.1145/2535925 · Cited by 836
Better Key Sizes (and Attacks) for LWE-Based Encryption
Lindner, R., & Peikert, C. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-19074-2_21 · Cited by 688
Making NTRU as Secure as Worst-Case Problems over Ideal Lattices
Stehlé, D., & Steinfeld, R. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-20465-4_4 · Cited by 444
A Toolkit for Ring-LWE Cryptography
Lyubashevsky, V., Peikert, C., & Regev, O. (2013) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-38348-9_3 · Cited by 416
Metadata
- Authors
- Agrawal, S., Boneh, D., & Boyen, X.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 553-572
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2122973102
- Cited by
- 976
- References
- 1
- FWCI
- 44.44
- Type
- conference paper
- Language
- en
- Open access
- green
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: Efficient Lattice (H)IBE in the Standard Model. https://app.cochat.ai/papers/10.1007/978-3-642-13190-5_28
- The paper
- Agrawal, S., Boneh, D., & Boyen, X. (2010). Efficient Lattice (H)IBE in the Standard Model. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-13190-5_28
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.
