Dynamic and Public Auditing with Fair Arbitration for Cloud Data
This Dynamic and Public Auditing with Fair Arbitration for Cloud Data paper proposes a public audit scheme with support for data dynamics and fairness arbitration of potential disputes. In particular, we design an index switcher to eliminate the limitation of index use in tag computation in current schemes and achieve efficient handling of data dynamics.
Dynamic and Public Auditing with Fair Arbitration for Cloud Data To address the issue of fairness so that no party can misbehave without being detected, we further extend existing threat models and adopt the idea of signature exchange to design fair arbitration protocols so that any possible dispute can be settled fairly.
- The proposed system extend the threat model in current research to provide dispute arbitration, which is of great significance and practicality for cloud data auditing, since most existing schemes generally assume an honest data owner in their threat models.
- The proposed system provides fairness guarantee and dispute arbitration in our scheme, which ensures that both the data owner and the cloud cannot misbehave in the auditing process or else it is easy for a third-party arbitrator to find out the cheating part.
Platform : cloud computing
In this paper we study the need of a fair and dynamic auditing scheme to prevent a dishonest client accusing an honest CSP. But their scheme only realizes private auditing, and is difficult to be extended to support public auditing. Compared to these schemes, our work is the first to combine public verifiability, data dynamics support and dispute arbitration simultaneously. The system is extended by implementing the data dynamics and fair arbitration on groups in future.