Dynamic and public auditing with fair arbitration for cloud data

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DYNAMIC AND PUBLIC AUDITING WITH FAIR ARBITRATION FOR CLOUD
DATA
ABSTRACT
 Cloud users no longer physically possess their data, so how to ensure the integrity of their
outsourced data becomes a challenging task.
 Moreover, threat models in these schemes usually assume an honest data owner and focus
on detecting a dishonest cloud service provider despite the fact that clients may also
misbehave.
 This paper proposes a public auditing scheme with data dynamics support and fairness
arbitration of potential disputes.
 In particular, we design an index switcher to eliminate the limitation of index usage in tag
computation in current schemes and achieve efficient handling of data dynamics.
EXISTING SYSTEM
 Our work also adopts the idea of signature exchange to ensure the metadata correctness
and protocol fairness, and we concentrate on combining efficient data dynamics support
and fair dispute arbitration into a single auditing scheme.
 To address the fairness problem in auditing, we introduce a third-party arbitrator (TPAR)
into our threat model.
 Professional institute for conflicts arbitration and is trusted and payed by both data
owners and the CSP.
 A number of VPH applications are designed to access data from local disk, which will
not work if the data is stored in some remote storage system.

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