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Zero-Knowledge Proofs 1 Zero-Knowledge Proofs Lecture 15 1 - PowerPoint PPT Presentation

Zero-Knowledge Proofs 1 Zero-Knowledge Proofs Lecture 15 1 Interactive Proofs 2 Interactive Proofs 2 Interactive Proofs Prover wants to convince verifier that x has some property 2 Interactive Proofs Prover wants to convince verifier


  1. An Example Why is this convincing? G* G* := ! (G 1 ) (random ! ) b random bit b if b=1, ! * := ! if b=0, ! * := ! o σ G*= ! *(G b )? ! * 12

  2. An Example Why is this convincing? If prover can answer both b’s for the same G* then G 0 ~G 1 G* G* := ! (G 1 ) (random ! ) b random bit b if b=1, ! * := ! if b=0, ! * := ! o σ G*= ! *(G b )? ! * 12

  3. An Example Why is this convincing? If prover can answer both b’s for the same G* then G 0 ~G 1 G* Otherwise, testing on a random b will leave prover stuck w.p. 1/2 G* := ! (G 1 ) (random ! ) b random bit b if b=1, ! * := ! if b=0, ! * := ! o σ G*= ! *(G b )? ! * 12

  4. An Example Why is this convincing? If prover can answer both b’s for the same G* then G 0 ~G 1 G* Otherwise, testing on a random b will leave prover stuck w.p. 1/2 G* := ! (G 1 ) Why ZK? (random ! ) b random bit b if b=1, ! * := ! if b=0, ! * := ! o σ G*= ! *(G b )? ! * 12

  5. An Example Why is this convincing? If prover can answer both b’s for the same G* then G 0 ~G 1 G* Otherwise, testing on a random b will leave prover stuck w.p. 1/2 G* := ! (G 1 ) Why ZK? (random ! ) b random bit Verifier’s view: random b b and ! * s.t. G*= ! *(G b ) if b=1, ! * := ! if b=0, ! * := ! o σ G*= ! *(G b )? ! * 12

  6. An Example Why is this convincing? If prover can answer both b’s for the same G* then G 0 ~G 1 G* Otherwise, testing on a random b will leave prover stuck w.p. 1/2 G* := ! (G 1 ) Why ZK? (random ! ) b random bit Verifier’s view: random b b and ! * s.t. G*= ! *(G b ) if b=1, ! * := ! if b=0, ! * := ! o σ Which he could have G*= ! *(G b )? generated by himself (whether G 0 ~G 1 or not) ! * 12

  7. Zero-Knowledge Proofs 13

  8. Zero-Knowledge Proofs Interactive Proof 13

  9. Zero-Knowledge Proofs Interactive Proof Complete and Sound 13

  10. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: 13

  11. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: 13

  12. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: 13

  13. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Ah, got it! 42 13

  14. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Ah, got it! 42 13

  15. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Verifier’s view could have been “simulated” Ah, got it! 42 13

  16. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Verifier’s view could have been “simulated” Ah, got it! 42 13

  17. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Verifier’s view could have been “simulated” Ah, got it! 42 13

  18. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Verifier’s view could have been “simulated” L n i x Ah, got it! 42 13

  19. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Ah, got it! Verifier’s view could 42 have been “simulated” L n i x Ah, got it! 42 13

  20. Zero-Knowledge Proofs Interactive Proof Complete and Sound ZK Property: Ah, got it! Verifier’s view could 42 have been “simulated” L For every adversarial n i x Ah, got it! strategy, there exists 42 a simulation strategy 13

  21. ZK Property (in other pict’ s) x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 14

  22. ZK Property (in other pict’ s) x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 14

  23. ZK Property (in other pict’ s) x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 14

  24. ZK Property (in other pict’ s) Classical definition uses simulation only for corrupt receiver; x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 14

  25. ZK Property (in other pict’ s) Classical definition uses simulation only for corrupt receiver; and uses only standalone security: Environment gets only a transcript at the end x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 14

  26. SIM ZK x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 15

  27. SIM ZK • SIM-ZK would require simulation also when prover is corrupt x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 15

  28. SIM ZK • SIM-ZK would require simulation also when prover is corrupt • Then simulator is a witness extractor x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 15

  29. SIM ZK • SIM-ZK would require simulation also when prover is corrupt • Then simulator is a witness extractor • Adding this (in standalone) makes it a Proof of Knowledge x,w x F R proto proto i’face x Secure (and correct) if: ∀ ∃ s.t. ∀ output of is distributed Env Env identically in REAL IDEAL REAL and IDEAL 15

  30. Results 16

  31. Results IP and ZK defined [GMR’85] 16

  32. Results IP and ZK defined [GMR’85] ZK for all NP languages [GMW’86] 16

  33. Results IP and ZK defined [GMR’85] ZK for all NP languages [GMW’86] Assuming one-way functions exist 16

  34. Results IP and ZK defined [GMR’85] ZK for all NP languages [GMW’86] Assuming one-way functions exist ZK for all of IP [BGGHKMR’88] 16

  35. Results IP and ZK defined [GMR’85] ZK for all NP languages [GMW’86] Assuming one-way functions exist ZK for all of IP [BGGHKMR’88] Everything that can be proven can be proven in zero-knowledge! (Assuming OWF) 16

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