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Cited by 743

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Secure routing for structured peer-to-peer overlay networks

Castro, Miguel, Druschel, Peter, Ganesh, Ayalvadi, Rowstron, Antony, Wallach, Dan S.·2002·ACM SIGOPS Operating Systems Review

Abstract

Structured peer-to-peer overlay networks provide a substrate for the construction of large-scale, decentralized applications, including distributed storage, group communication, and content distribution. These overlays are highly resilient; they can route messages correctly even when a large fraction of the nodes crash or the network partitions. But current overlays are not secure; even a small fraction of malicious nodes can prevent correct message delivery throughout the overlay. This problem is particularly serious in open peer-to-peer systems, where many diverse, autonomous parties without preexisting trust relationships wish to pool their resources. This paper studies attacks aimed at preventing correct message delivery in structured peer-to-peer overlays and presents defenses to these attacks. We describe and evaluate techniques that allow nodes to join the overlay, to maintain routing state, and to forward messages securely in the presence of malicious nodes.

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Metadata

Authors
Castro, M., Druschel, P., Ganesh, A., Rowstron, A., & Wallach, D. S.
Venue
ACM SIGOPS Operating Systems Review
Published
2002-12-31
Volume
36
Issue
SI
Pages
299-314
ISSN
0163-5980 (ISSN-L)
OpenAlex
W2171957559
Cited by
743
References
2
FWCI
46.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Secure routing for structured peer-to-peer overlay networks. https://app.cochat.ai/papers/10.1145/844128.844156
The paper
Castro, M., Druschel, P., Ganesh, A., Rowstron, A., & Wallach, D. S. (2002). Secure routing for structured peer-to-peer overlay networks. ACM SIGOPS Operating Systems Review. https://doi.org/10.1145/844128.844156

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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.