Visible to the public Verifiable Outsourced Database in the Cloud Using Game Theory

TitleVerifiable Outsourced Database in the Cloud Using Game Theory
Publication TypeConference Paper
Year of Publication2017
AuthorsEltayesh, Faryed, Bentahar, Jamal
Conference NameProceedings of the Symposium on Applied Computing
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4486-9
Keywordsauthenticated data structures, big data security metrics, big databases security in the cloud, composability, database auditing, Metrics, Outsourced Database Integrity, outsourced database security, pubcrawl, Resiliency, security weaknesses, verifiable database
Abstract

In the verifiable database (VDB) model, a computationally weak client (database owner) delegates his database management to a database service provider on the cloud, which is considered untrusted third party, while users can query the data and verify the integrity of query results. Since the process can be computationally costly and has a limited support for sophisticated query types such as aggregated queries, we propose in this paper a framework that helps bridge the gap between security and practicality trade-offs. The proposed framework remodels the verifiable database problem using Stackelberg security game. In the new model, the database owner creates and uploads to the database service provider the database and its authentication structure (AS). Next, the game is played between the defender (verifier), who is a trusted party to the database owner and runs scheduled randomized verifications using Stackelberg mixed strategy, and the database service provider. The idea is to randomize the verification schedule in an optimized way that grants the optimal payoff for the verifier while making it extremely hard for the database service provider or any attacker to figure out which part of the database is being verified next. We have implemented and compared the proposed model performance with a uniform randomization model. Simulation results show that the proposed model outperforms the uniform randomization model. Furthermore, we have evaluated the efficiency of the proposed model against different cost metrics.

URLhttp://doi.acm.org/10.1145/3019612.3019628
DOI10.1145/3019612.3019628
Citation Keyeltayesh_verifiable_2017