Title
An alternative approach to public cloud data auditing supporting data dynamics
Abstract
Public cloud data auditing allows a user to delegate an auditing job to a third party who is responsible for verifying whether a cloud server has faithfully stored a file or not. Proof of retrievability (PoR) is a widely used protocol for this kind of job. To the best of our knowledge, in the publicly verifiable setting with supporting data dynamics, all known PoR schemes are either rely on the random oracles or are built in the standard model but require nonstandard assumptions. In this paper, we present a scheme which explores the linear homomorphic signature and the sequence Merkle hash tree to construct the homomorphic linear authenticator for the PoR. The security of our proposed scheme can be proved in the standard model, assuming the hash function is collision resilient and the computational Diffie–Hellman assumption holds. The scheme also supports data modification, data insertion and data deletion. Furthermore, our technique can also be regarded as a novel paradigm by combining the homomorphic signature and authenticated data structure (with certain properties) to construct the homomorphic linear authenticator for the PoR protocols.
Year
DOI
Venue
2019
10.1007/s00500-018-3155-4
soft computing
Keywords
Field
DocType
Provable data possession, Cloud data auditing, Verifiable data outsourcing, Standard model
Homomorphic encryption,Audit,Delegate,Computer science,Theoretical computer science,Collision,Verifiable secret sharing,Merkle tree,Hash function,Cloud computing
Journal
Volume
Issue
ISSN
23
13
1433-7479
Citations 
PageRank 
References 
1
0.35
34
Authors
9
Name
Order
Citations
PageRank
Tao Wang131.73
Tao Wang2337115.68
Bo Yang3903100.69
Bo Yang4903100.69
Hong-Yu Liu518323.11
Yong Yu652345.29
Yong Yu752345.29
Guoyong Qiu831.05
Zhe Xia9198.17