Dynamic and Public Auditing with Fair Arbitration for Cloud Data

Storage outsourcing has become a rising trend with the advent of cloud computing, which has led to an increased focus on secure remote data auditing as a future research area. Additionally, this research addresses the challenges of data dynamics support, public verifiability, and dispute arbitration simultaneously. To solve the data dynamics problem in auditing, we propose an index switcher that preserves the mapping between block indices and tag indices, thereby eliminating the passive outcome of block indices in the tag computation without incurring significant overhead. Our scheme provides fairness guarantees and dispute arbitration, ensuring that both the data owner and the cloud cannot misbehave during the auditing process. If any misconduct occurs, a third-party arbitrator can easily identify the cheating party. The framework is designed to accommodate data dynamics and offer reasonable discretion on data gatherings in the future.