Privacy-Preserving Deduplication and Data Integrity Auditing for Compressed Cloud Storage

This research proposes a new method for cloud storage that combines data deduplication (removing duplicate copies of files) with integrity auditing (verifying data hasn't been corrupted or altered) while protecting user privacy. The key innovation is using lightweight algebraic operations (simple mathematical calculations) instead of expensive BLS signatures (complex cryptographic signatures), and applying randomized blinding techniques (adding random noise to hide identifying information) to prevent auditors from discovering who owns which files.