We consider private information retrieval (PIR) for distributed storage systems (DSSs) with noncolluding nodes where data is stored using a non maximum distance separable (MDS) linear code. It was recently shown that if data is stored using a particular class of non-MDS linear codes, the MDS-PIR capacity, i.e., the maximum possible PIR rate for MDS-coded DSSs, can be achieved. For this class of codes, we prove that the PIR capacity is indeed equal to the MDS-PIR capacity, giving the first family of non-MDS codes for which the PIR capacity is known. For other codes, we provide asymmetric PIR protocols that achieve a strictly larger PIR rate compared to existing symmetric PIR protocols
Private information retrieval (PIR) is the problem of retrieving one message out of $K$ messages fro...
A private information retrieval (PIR) scheme on coded storage systems with colluding, byzantine, and...
The rapid development of information and communication technologies has motivated many data-centric ...
We propose a private information retrieval (PIR) protocol for distributed storage systems (DSSs) wit...
We propose three private information retrieval (PIR) protocols for distributed storage systems (DSSs...
We consider private information retrieval (PIR) for distributed storage systems with noncolluding no...
The problem of providing privacy, in the private information retrieval (PIR) sense, to users request...
We are living in the age of information where our lives are shaped by information and communication ...
We propose an information-theoretic private information retrieval (PIR) scheme for distributed stora...
Along with the technological advancements and the remarkable growth of digital data storage, new cha...
A Private Information Retrieval (PIR) scheme allows users to retrieve data from a database without d...
A (K, N, T, Kc) instance of private information retrieval from MDS coded data with colluding servers...
International audiencePrivate Information Retrieval (PIR) protocols aim at ensuring a user that he c...
Private information retrieval (PIR) schemes (with or without colluding servers) have been proposed f...
The modern information age is heralded by exciting paradigms ranging from big data, cloud computing ...
Private information retrieval (PIR) is the problem of retrieving one message out of $K$ messages fro...
A private information retrieval (PIR) scheme on coded storage systems with colluding, byzantine, and...
The rapid development of information and communication technologies has motivated many data-centric ...
We propose a private information retrieval (PIR) protocol for distributed storage systems (DSSs) wit...
We propose three private information retrieval (PIR) protocols for distributed storage systems (DSSs...
We consider private information retrieval (PIR) for distributed storage systems with noncolluding no...
The problem of providing privacy, in the private information retrieval (PIR) sense, to users request...
We are living in the age of information where our lives are shaped by information and communication ...
We propose an information-theoretic private information retrieval (PIR) scheme for distributed stora...
Along with the technological advancements and the remarkable growth of digital data storage, new cha...
A Private Information Retrieval (PIR) scheme allows users to retrieve data from a database without d...
A (K, N, T, Kc) instance of private information retrieval from MDS coded data with colluding servers...
International audiencePrivate Information Retrieval (PIR) protocols aim at ensuring a user that he c...
Private information retrieval (PIR) schemes (with or without colluding servers) have been proposed f...
The modern information age is heralded by exciting paradigms ranging from big data, cloud computing ...
Private information retrieval (PIR) is the problem of retrieving one message out of $K$ messages fro...
A private information retrieval (PIR) scheme on coded storage systems with colluding, byzantine, and...
The rapid development of information and communication technologies has motivated many data-centric ...