Open AccessPosted Content
PORs: Proofs of Retrievability for Large Files
Ari Juels,Burton S. Kaliski +1 more
TLDR
This paper defines and explores proofs of retrievability (PORs), a POR scheme that enables an archive or back-up service to produce a concise proof that a user can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.Abstract:
In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.read more
Citations
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Journal ArticleDOI
Review: A survey on security issues in service delivery models of cloud computing
S. Subashini,V. Kavitha +1 more
TL;DR: A survey of the different security risks that pose a threat to the cloud is presented and a new model targeting at improving features of an existing model must not risk or threaten other important features of the current model.
Posted Content
Provable Data Possession at Untrusted Stores.
Giuseppe Ateniese,Randal Burns,Reza Curtmola,Joseph Herring,Lea Kissner,Zachary N. J. Peterson,Dawn Song +6 more
TL;DR: Ateniese et al. as discussed by the authors introduced the provable data possession (PDP) model, which allows a client that has stored data at an untrusted server to verify that the server possesses the original data without retrieving it.
Book ChapterDOI
The knowledge complexity of interactive proof-systems
TL;DR: Permission to copy without fee all or part of this material is granted provided that the copies arc not made or distributed for direct commercial advantage.
Journal ArticleDOI
Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
TL;DR: To achieve efficient data dynamics, the existing proof of storage models are improved by manipulating the classic Merkle Hash Tree construction for block tag authentication, and an elegant verification scheme is constructed for the seamless integration of these two salient features in the protocol design.
Proceedings ArticleDOI
Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing
TL;DR: This paper utilize and uniquely combine the public key based homomorphic authenticator with random masking to achieve the privacy-preserving public cloud data auditing system, which meets all above requirements.
References
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Proceedings ArticleDOI
Proofs of Ownership and Retrievability in Cloud Storage
TL;DR: In this paper, a framework called Proofs of Ownership and Retrievability (PoOR) is introduced considering the requirement of mutual validation and the result shows that the PoOR scheme is efficient in computation performance, especially when the size of the file is large.
Journal ArticleDOI
Secure Cloud Storage Service Using Bloom Filters for the Internet of Things
TL;DR: A secure cloud storage service for an IoT environment that is based on a provable data possession model and uses Bloom filters is proposed and showed that the proposed method saves time and has no significant differences in the verification rate with existing methods, even though the Bloom filter causes false positives.
Proceedings ArticleDOI
SecLoc: Securing Location-Sensitive Storage in the Cloud
TL;DR: A novel secure location-sensitive storage framework, called SecLoc, is proposed, which offers protection for cloud users' data following the storage location restrictions, with minimum management overhead to existing cloud storage services.
Proceedings ArticleDOI
A framework to ensure data storage security in cloud computing
Mrinal Kanti Sarkar,Sanjay Kumar +1 more
TL;DR: A new framework and an Encryption Schemes which encrypt the data and retrieve the data efficiently are proposed which are feasible, scalable and efficient for cloud computing data security.
Proceedings Article
Dynamic proofs of retrievability from Chameleon-Hashes
TL;DR: Like standard POR constructions, the presented scheme is sentinel-based and does audit queries via spot checking mechanism, however, a-posteriori insertions of new sentinels throughout the lifetime of the file is supported.