The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
On trust models and trust evaluation metrics for ad hoc networks
Open accessAbstract
Within the realm of network security, we interpret the concept of trust as a relation among entities that participate in various protocols. Trust relations are based on evidence created by the previous interactions of entities within a protocol. In this work, we are focusing on the evaluation of trust evidence in ad hoc networks. Because of the dynamic nature of ad hoc networks, trust evidence may be uncertain and incomplete. Also, no preestablished infrastructure can be assumed. The evaluation process is modeled as a path problem on a directed graph, where nodes represent entities, and edges represent trust relations. We give intuitive requirements and discuss design issues for any trust evaluation algorithm. Using the theory of semirings, we show how two nodes can establish an indirect trust relation without previous direct interaction. We show that our semiring framework is flexible enough to express other trust models, most notably PGP's Web of Trust. Our scheme is shown to be robust in the presence of attackers.
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
Cites
Factor graphs and the sum-product algorithm
Kschischang, F. R., Frey, B. J., & Loeliger, H.-A. (2001) · IEEE Transactions on Information Theory · doi:10.1109/18.910572 · Cited by 6,486 · cited 2×
“The formalism of semirings highlights that our algorithm is a member of a larger family of wellstudied algorithms, collectively described under the term Factor Graphs [5], or Generalized Distributive Law [6].”
Cited by
On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks
Raya, M., Papadimitratos, P., Gligor, V. D., & Hubaux, J.-P. (2008) · IEEE INFOCOM 2008 - The 27th Conference on Computer Communications · doi:10.1109/infocom.2008.180 · Cited by 473
Bao, F., Chen, I.-R., Chang, M., & Cho, J.-H. (2012) · IEEE Transactions on Network and Service Management · doi:10.1109/tcomm.2012.031912.110179 · Cited by 450
Rani, R., Kumar, S., & Dohare, U. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2917763 · Cited by 65
Metadata
- Authors
- Theodorakopoulos, G., & Baras, J. S.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2006-02
- Volume
- 24
- Issue
- 2
- Pages
- 318-328
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2168205742
- Cited by
- 511
- References
- 1
- FWCI
- 111.82
- Type
- journal article
- 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: On trust models and trust evaluation metrics for ad hoc networks. https://app.cochat.ai/papers/10.1109/jsac.2005.861390
- The paper
- Theodorakopoulos, G., & Baras, J. S. (2006). On trust models and trust evaluation metrics for ad hoc networks. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/jsac.2005.861390
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.
