CRAug 24, 2018

AuthPDB: Query Authentication for Outsourced Probabilistic Databases

arXiv:1808.08297v42 citations
Originality Incremental advance
AI Analysis

This addresses security concerns for companies outsourcing data management to third-party servers, particularly in probabilistic databases where query evaluation is complex, but it is incremental as it builds on existing outsourcing and verification frameworks.

The paper tackles the problem of verifying query result integrity on outsourced probabilistic databases, where dishonest servers might return incorrect answers, and presents efficient verification methods for all-answer and top-k queries with demonstrated effectiveness and efficiency in empirical results.

Spurred by developments such as cloud computing, there are increasing efforts for outsourcing of data management. A company (data owner) who lacks expertise and comptational resources can outsource his data to a third-party service provider (server), who provides storage and query evaluation on the outsourced data as the services. One of the security concerns of the outsourcing paradigm is the integrity of the returned query results on the outsourced data. In this paper, we consider the outsourcing of probabilistic databases, on which query evaluation is of high complexity. A dishonest server may return cheap (and incorrect) query answers, hoping that the client who has weak computational power cannot catch the incorrect results. To address this issue, we design efficient integrity verification methods for both all-answer and top-k query evaluation on outsourced probabilistic databases. Our empirical results demonstrate the effectiveness and efficiency of our verification methods.

Foundations

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