AuthPDB: Query Authentication for Outsourced Probabilistic Databases
Bo Zhang, Boxiang Dong, Hui Wang

TL;DR
This paper introduces AuthPDB, a method for verifying the integrity of query results in outsourced probabilistic databases, ensuring correctness despite potential server dishonesty, with demonstrated efficiency and effectiveness.
Contribution
It presents novel integrity verification techniques specifically designed for complex probabilistic database queries in outsourcing scenarios.
Findings
Verification methods are effective in detecting incorrect results.
The methods are efficient and suitable for practical deployment.
Empirical evaluation confirms robustness and performance.
Abstract
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.…
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Taxonomy
TopicsData Quality and Management · Distributed systems and fault tolerance · Advanced Database Systems and Queries
