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Zeph: Cryptographic Enforcement of End-to-End Data Privacy

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Zeph enforces user-defined privacy by encrypting data at sources and issuing cryptographic transformation tokens from a separate privacy plane so services can only decrypt privacy-compliant views. It implements additive homomorphic secret sharing to compute masking, aggregation and calibrated differential privacy noise on encrypted streams, integrates with Apache Kafka (Java and Rust prototype), and runs end-to-end across AWS with 300–1,200 producers/controllers, showing sub-second overhead at 1,200 participants versus plaintext.

AI-written summary · about

  1. 0:00Data privacy challenges
  2. 1:59Introduction to Ceph
  3. 3:20Privacy transformation goals
  4. 4:24Core architecture design
  5. 6:24Privacy control mechanics
  6. 8:10System-level challenges
  7. 9:20Cryptographic foundations
  8. 12:22Advanced security features
  9. 13:31Evaluation and conclusion
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