Multi-prover Proof-of-Retrievability
Maura B. Paterson, Douglas R. Stinson, Jalaj Upadhyay

TL;DR
This paper extends proof-of-retrievability systems to multiple servers, formalizing security definitions for threshold and average success, and introduces schemes with confidentiality guarantees, including an unconditionally secure instantiation based on the Shacham-Waters scheme.
Contribution
It introduces formal security definitions for multi-server PoR systems and provides secure schemes with confidentiality, including an unconditionally secure version based on existing cryptographic techniques.
Findings
Secure multi-server PoR schemes with threshold and average-case guarantees.
Extension of classical statistical techniques for response verification.
An unconditionally secure multi-server PoR scheme based on Shacham-Waters.
Abstract
There has been considerable recent interest in "cloud storage" wherein a user asks a server to store a large file. One issue is whether the user can verify that the server is actually storing the file, and typically a challenge-response protocol is employed to convince the user that the file is indeed being stored correctly. The security of these schemes is phrased in terms of an extractor which will recover the file given any "proving algorithm" that has a sufficiently high success probability. This forms the basis of \emph{proof-of-retrievability} () systems. In this paper, we study multiple server systems. We formalize security definitions for two possible scenarios: (i) when a threshold of servers succeed with high enough probability (worst-case) and (ii) when the average of the success probability of all the servers is above a threshold…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
