The DOI matches its Crossref record.
Secure group communications using key graphs
Abstract
Many emerging network applications are based upon a group communications model. As a result, securing group communications, i.e., providing confidentiality, authenticity, and integrity of messages delivered between group members, will become a critical networking issue. We present, in this paper, a novel solution to the scalability problem of group/multicast key management. We formalize the notion of a secure group as a triple (U,K,R) where U denotes a set of users, K a set of keys held by the users, and R a user-key relation. We then introduce key graphs to specify secure groups. For a special class of key graphs, we present three strategies for securely distributing rekey messages after a join/leave and specify protocols for joining and leaving a secure group. The rekeying strategies and join/leave protocols are implemented in a prototype key server we have built. We present measurement results from experiments and discuss performance comparisons. We show that our group key management service, using any of the three rekeying strategies, is scalable to large groups with frequent joins and leaves. In particular, the average measured processing time per join/leave increases linearly with the logarithm of group size.
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
Key agreement in dynamic peer groups
Steiner, M., Tsudik, G., & Waidner, M. (2000) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/71.877936 · Cited by 601
On Security in Publish/Subscribe Services: A Survey
Esposito, C., & Ciampi, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2364616 · Cited by 55
Metadata
- Authors
- Wong, C. K., Gouda, M., & Lam, S. S.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 2000
- Volume
- 8
- Issue
- 1
- Pages
- 16-30
- ISSN
- 1063-6692 (ISSN-L)
- OpenAlex
- W2019267322
- Cited by
- 1,093
- References
- 0
- FWCI
- 33.56
- Type
- journal article
- 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: Secure group communications using key graphs. https://app.cochat.ai/papers/10.1109/90.836475
- The paper
- Wong, C. K., Gouda, M., & Lam, S. S. (2000). Secure group communications using key graphs. IEEE/ACM Transactions on Networking. https://doi.org/10.1109/90.836475
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.
