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Cited by 394

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Secure Untrusted Data Repository (SUNDR)

Li, Jinyuan, Krohn, Maxwell, Mazieres, David, Shasha, Dennis·2003

Abstract

We have implemented a secure network file system called SUNDR that guarantees the integrity of data even when malicious parties control the server. SUNDR splits storage functionality between two untrusted components, a block store and a consistency server. The block store holds all file data and most metadata. Without interpreting metadata, it presents a simple interface for clients to store variable-sized data blocks and later retrieve them by cryptographic hash. The consistency server implements a novel protocol that guarantees close-to-open consistency whenever users see each other s updates. The protocol roughly consists of users exchanging version-stamped digital signatures of block server metadata, though a number of subtleties arise in efficiently supporting concurrent clients and groupwritable files. We have proven the protocol s security under basic cryptographic assumptions. Without somehow producing signed messages valid under a user s (or the superuser s) public key, an attacker cannot tamper with a user s files even given control of the servers and network. Despite this guarantee, SUNDR performs within a reasonable factor of existing insecure network file systems.

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Metadata

Authors
Li, J., Krohn, M., Mazieres, D., & Shasha, D.
Published
2003-01-01
OpenAlex
W2114349788
Cited by
394
References
1
Type
report
Language
en
Open access
closed

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CoChat. (2026). Citation check: Secure Untrusted Data Repository (SUNDR). https://app.cochat.ai/papers/10.21236/ada445862
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Li, J., Krohn, M., Mazieres, D., & Shasha, D. (2003). Secure Untrusted Data Repository (SUNDR). https://doi.org/10.21236/ada445862

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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.