HAIL: a high-availability and integrity layer for cloud storage

By Kevin D. Bowers, Ari Juels, Alina Oprea. Conference on Computer and Communications Security, 2009

1,160 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/8a87a19160733a67245bfc7d3148a03ebec85d89

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Citations in the corpus

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.”
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].”
A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability (2011, background): “[35] propose a remote file integrity checking protocol that provides high availability and integrity.”
Permacoin: Repurposing Bitcoin Work for Data Preservation (2014, background): “, [10], previous schemes have involved small numbers of provers acting synchronously.”
Ensuring data storage security in Cloud Computing (2009, background): “From Table I, it can be shown that the performance of our scheme is comparable to that of [10], even if our scheme supports dynamic data operation while [10] is for static data only.”
Toward publicly auditable secure cloud data storage services (2010, background): “Recently, great interest has been shown in ensuring remotely stored data integrity under different system and security models [6] [7] [8] [9] [10] [11] [12] [13] [14] [15].”
Cloud Computing Security: From Single to Multi-clouds (2012, background): “[10] 2009 √ √ √ HAIL (Proofs + cryptography) √ √”
RACS: a case for cloud storage diversity (2010, methodology): “HAIL:A high-availability andintegritylayerfor cloud storage.”
Enabling Public Verifiability and Data Dynamics for Storage Security in Cloud Computing (2009, methodology): “Note that the original PoR schemes [1,3,4, 15 ] do not consider dynamic data operations and the block insert cannot be supported at all.”
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.”
Cooperative Provable Data Possession for Integrity Verification in Multicloud Storage (2012, background): “Furthermore, several POR schemes and models have been recently proposed including [9], [10].”
Enabling Security in Cloud Storage SLAs with CloudProof (2011, background): “If C comes before A in the sequence, it must come before B because we assumed that the freshness requirement was violated at the time of this request.”
DepSky: dependable and secure storage in a cloud-of-clouds (2011, methodology): “The HAIL (High-Availability Integrity Layer) protocol set [Bowers 2009] aggregates cryptographic protocols for proof of recoveries with erasure codes to provide a software layer to protect the integrity and availability of the stored data, even if the individual clouds are compromised by a…”
A Secure Erasure Code-Based Cloud Storage System with Secure Data Forwarding (2012, background): “The concept of provable data possession [20], [21] and the notion of proof of storage [22], [23], [24] are proposed.”
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.”
Availability Knob: Flexible User-Defined Availability in the Cloud (2016, background): “Fault tolerance through redundancy and replication of VMs [13, 26], hypervisors [68], data [20, 21, 51], and even hardware [36] has been proposed.”
A survey on security issues in service delivery models of cloud computing (2011, background): “These security policies must be adhered by the cloud to avoid intrusion of data by unauthorized users (Blaze et al., 1999; Kormann and Rubin, 2000; Bowers et al., 2008).”
Data Security and Privacy in Cloud Computing (2014, neutral): “realize the availability and integrity checking [18].”