PATD: Privacy-Preserving Auditing and Transparent Deduplication in UAV Cloud Storage

This research paper addresses security and transparency challenges in cloud storage for UAV (unmanned aerial vehicle) data by proposing PATD, a system that combines privacy-preserving auditing with transparent deduplication. The paper identifies two main problems: verifying that outsourced data hasn't been corrupted or tampered with (without revealing the data itself), and ensuring that file deduplication (removing duplicate copies to save storage) is performed honestly and transparently by the cloud provider.