Secure Data Deduplication Projects for ME, MTech, Masters, MS abroad, and PhD students. These Secure Data Deduplication ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Secure Data Deduplication Projects
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DEDUCT: A Secure Deduplication of Textual Data in Cloud Environments
This project presents a new way to reduce the size of large text datasets while keeping them secure. The method, called DEDUCT, removes repeated data before storing it in the cloud. It works well even on small devices like IoT systems. Tests show it can cut storage needs by about two-thirds without losing data privacy.
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