Pavan: A privacy-preserving system for DB-as-a-Service | Zendy

Somayeh Sobati Moghadam | Zendy; Amjad Fayoumi | Zendy; Peyman Vafadoost | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Pavan: A privacy-preserving system for DB-as-a-Service

Author(s) -

Somayeh Sobati Moghadam,

Amjad Fayoumi,

Peyman Vafadoost

Publication year - 2020

Publication title -

ict express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.733

H-Index - 22

ISSN - 2405-9595

DOI - 10.1016/j.icte.2020.11.003

Subject(s) - homomorphic encryption , computer science , encryption , cloud computing , overhead (engineering) , computer security , information privacy , data sharing , database , client side encryption , computer network , on the fly encryption , operating system , medicine , alternative medicine , pathology

In a cloud database system which employs the DataBase-as-a-Service model, security is a great challenge. Nevertheless, the current encryption systems are only partially homomorphic, which are designed to enable only one particular type of computation to be carried out on encrypted data. To address these concerns, we introduce Pavan, a system that securely stores data in a cloud database while still enabling encrypted data to be processed. Pavan enables query processing with an order-preserving partially homomorphic encryption scheme. We show that Pavan is a practical system that preserves data privacy with reasonable overhead for cloud outsourcing scenarios.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research