MR-PDP: Multiple-Replica Provable Data Possession

By Reza Curtmola, Osama Khan, Randal C. Burns, Giuseppe Ateniese. IEEE International Conference on Distributed Computing Systems, 2008

592 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/91ee66d8204b5c13ca00bf10c83ef2d4842860ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kui Ren
2. Wenjing Lou
3. Giuseppe Ateniese
4. Qian Wang
5. Ari Juels
6. Nenghai Yu
7. Zhuo Hao
8. Sheng Zhong

In Computer Networks and Communications

1. Wenjing Lou
2. Kui Ren
3. Qian Wang
4. Giuseppe Ateniese
5. Sherman S. M. Chow
6. Sawan Kumar
7. Rampal Singh
8. Shani Kumar Agrahari

In Information Systems

1. Wenjing Lou
2. Kui Ren
3. Giuseppe Ateniese
4. Qian Wang
5. Ari Juels
6. Nenghai Yu
7. Zhuo Hao
8. Sheng Zhong

Citations in the corpus

• Scalable and efficient provable data possession (2008, background): “[12] first proposed multiple-replica PDP schemes where the client can verify that several copies of a file are actually stored by a storage service provider.”
• Ensuring data storage security in Cloud Computing (2009, background): “[15] aimed to ensure data possession of multiple replicas across the distributed storage system.”
• Remote data checking using provable data possession (2011, methodology): “…extensions to remote data checking include extending the data possession guarantee to multiple servers based on replication without encoding each replica sep­arately [Curtmola et al. 2008], based on erasure coding [Wang et al. 2009; Bowers et al. 2009a] and based on network coding [Chen et al.”
• Blockchain Based Data Integrity Service Framework for IoT Data (2017, methodology): “[5] targets to solve the problem of PDP used to verify multiple replicas of data in cloud computing model.”
• Privacy-Preserving Public Auditing for Secure Cloud Storage (2013, background): “[32] aim to ensure data possession of multiple replicas across the distributed storage system.”
• HAIL: a high-availability and integrity layer for cloud storage (2009, background): “[11] proposed an extension of PDPs to multiple servers.”
• A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability (2011, background): “Recently, many works [1], [3], [4], [5], [6], [7], [8], [9], [13], [14], [15] focus on providing three advanced features for remote data integrity checking protocols: data dynamics [5], [6], [8], [14], public verifiability [3], [8], [9], [14], and privacy against verifiers [9], [14].”
• Dynamic provable data possession (2009, background): “Several other related works deserve to be cited even though they are focused on distributing the storage to more than a single server [Bowers et al. 2009; Curtmola et al. 2008], or cloud architecture [Kamara and Lauter 2010], public verifiability via third parties [Shah et al.”