Dynamic provable data possession
By C. Christopher Erway, Alptekin Küpçü, Charalampos Papamanthou, Roberto Tamassia. IACR Cryptology ePrint Archive, 2009
1,434 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/4d35d42db0da0f766ef717f9f63df7ebee4e5990
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Citations in the corpus
- Proxy Provable Data Possession in Public Clouds (2013, background): “After that, Erway et al. [3] proposed a fulldynamic PDP scheme from authenticated flip table.”
- DupLESS: Server-Aided Encryption for Deduplicated Storage (2013, methodology): “Our approaches may be used in conjunction with existing mechanisms for availability auditing [13] [41] [51] [70] or file replication across multiple services [26].”
- What's New About Cloud Computing Security? (2010, background): “In this section, we assess what appears new to cloud computing and what does not, so that we can identify the most challenging aspects of the cloud computing security threat model.”
- Privacy and Access Control for Outsourced Personal Records (2015, background): “…[59]–[62], which allow the server to prove to the client that it is actually storing all of the client’s data, verifiable databases [63], which differ from the previous ones in that the size of the database is fixed during the setup phase, and dynamic provable data possession [64].”
- HAIL: a high-availability and integrity layer for cloud storage (2009, methodology): “Subsequent work gives file update protocols in the PDP model [3, 13].”
- Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud (2015, methodology): “[32] introduced Dynamic Provable Data Possession by using authenticated dictionaries, which are based on rank information.”
- 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].”
- Remote data checking using provable data possession (2011, methodology): “2010], and to ef.ciently support dynamic data updates [Ateniese et al. 2008; Erway et al. 2009].”
- Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage (2017, methodology): “[23] extended the PDP model to dynamic PDP model by utilizing rank-based authenticated skip lists.”
- Cooperative Provable Data Possession for Integrity Verification in Multicloud Storage (2012, methodology): “Even though existing PDP schemes have addressed various security properties, such as public verifiability [2], dynamics [5], scalability [4], and privacy preservation [7], we still need a careful consideration of some potential attacks, including two major categories: Data Leakage Attack by which an”
- Enabling Public Verifiability and Data Dynamics for Storage Security in Cloud Computing (2009, methodology): “The communication overhead (server’s response to the challenge) of our RSA-based instantiation and DPDP scheme [14] under different block sizes is illustrated in Fig.”
- An Efficient Public Auditing Protocol With Novel Dynamic Structure for Cloud Data (2017, background): “[29] extended the auditing protocol to support fully dynamic storage with the employment of a skip list, which still achieves a significant improvement in efficiency and privacy.”
- Data-oblivious graph algorithms for secure computation and outsourcing (2013, background): “, [19]) and secure outsourcing of common tasks such as linear algebra operations (e.”
- Proofs of Storage from Homomorphic Identification Protocols (2009, methodology): “We illustrate the use of our transformations by applying them to a variant of an identification protocol by Shoup, thus obtaining the first unbounded-use PoS based on factoring (in the random oracle model).”
- Cryptographic Cloud Storage (2010, background): “Improved definitions and constructions were given in [30,14,20,3] and dynamic proofs of storage (where the data can be updated) are considered in [4, 21 ,33].”
- Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing (2010, background): “[23] developed a skip lists based scheme to enable provable data possession with fully dynamics support.”
- Dynamic Audit Services for Outsourced Storages in Clouds (2013, background): “Index Terms—Storage security, provable data possession, audit service, cloud storage Ç”