Improved Storage for Efficient Private Information Retrieval

08/29/2019
by   Karim Banawan, et al.
0

We consider the problem of private information retrieval from Nstorage-constrained databases. In this problem, a user wishes to retrieve a single message out of M messages (of size L) without revealing any information about the identity of the message to individual databases. Each database stores μ ML symbols, i.e., a μ fraction of the entire library, where 1/N≤μ≤ 1. Our goal is to characterize the optimal tradeoff curve for the storage cost (captured by μ) and the normalized download cost (D/L). We show that the download cost can be reduced by employing a hybrid storage scheme that combines MDS coding ideas with uncoded partial replication ideas. When there is no coding, our scheme reduces to Attia-Kumar-Tandon storage scheme, which was initially introduced by Maddah-Ali-Niesen in the context of the caching problem, and when there is no uncoded partial replication, our scheme reduces to Banawan-Ulukus storage scheme; in general, our scheme outperforms both.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro