IEEE 2012 TRANSACTIONS ON CLOUD COMPUTING, VOLUME: 85 , ISSUE: 5
Technology - Available in J2EE & DOTNET
Abstract—Cloud-based outsourced storage relieves the client’s burden for
storage management and maintenance by providing
a comparably low-cost, scalable, location-independent platform. However, the
fact that clients no longer have physical possession of data indicates
that they are facing a potentially formidable risk for missing or
corrupted data. To avoid the security risks, audit services are critical to
ensure the integrity and availability of outsourced data and to achieve
digital forensics and credibility on cloud computing. Provable data
possession (PDP), which is a cryptographic technique for verifying the
integrity of data without retrieving it at an untrusted server, can be
used to realize audit services. In this
paper, profiting from the interactive zero-knowledge proof system, we address
the construction of an interactive PDP protocol to prevent the fraudulence
of prove (soundness property) and the leakage of verified data
(zero-knowledge property). We prove that our construction holds these
properties based on the computation Daffier–Hellman assumption and the rewind
able black-box knowledge extractor. We also propose an efficient mechanism
with respect to probabilistic queries and periodic verification to reduce
the audit costs per verification and implement abnormal detection timely. In
addition, we present an efficient method for selecting an optimal
parameter value to minimize computational overheads of cloud audit
services. Our experimental results demonstrate the effectiveness of our approach.
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