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Cited by 257

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Verifiable Computation over Large Database with Incremental Updates

Chen, Xiaofeng, Li, Jin, Weng, Jian, Ma, Jianfeng, Lou, Wenjing·2016·IEEE Transactions on Computers

Abstract

The notion of verifiable database (VDB) enables a resource-constrained client to securely outsource a very large database to an untrusted server so that it could later retrieve a database record and update a record by assigning a new value. Also, any attempt by the server to tamper with the data will be detected by the client. When the database undergoes frequent while small modifications, the client must re-compute and update the encrypted version (ciphertext) on the server at all times. For very large data, it is extremely expensive for the resources-constrained client to perform both operations from scratch. In this paper, we formalize the notion of verifiable database with incremental updates (Inc-VDB). Besides, we propose a general Inc-VDB framework by incorporating the primitive of vector commitment and the encrypt-then-incremental MAC mode of encryption. We also present a concrete Inc-VDB scheme based on the computational Diffie-Hellman (CDH) assumption. Furthermore, we prove that our construction can achieve the desired security properties.

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Metadata

Authors
Chen, X., Li, J., Weng, J., Ma, J., & Lou, W.
Venue
IEEE Transactions on Computers
Published
2016-10-01
Volume
65
Issue
10
Pages
3184-3195
ISSN
0018-9340 (ISSN-L)
OpenAlex
W2344670370
Cited by
257
References
46
FWCI
47.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Verifiable Computation over Large Database with Incremental Updates. https://app.cochat.ai/papers/10.1109/tc.2015.2512870
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Chen, X., Li, J., Weng, J., Ma, J., & Lou, W. (2016). Verifiable Computation over Large Database with Incremental Updates. IEEE Transactions on Computers. https://doi.org/10.1109/tc.2015.2512870

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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