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Secure Multi-Party Computation: Promises, Proto...

Secure Multi-Party Computation: Promises, Protocols, and Practicalities

ECRYPT NET
Workshop on Crypto for the Cloud & Implementation
http://crypto-events.di.ens.fr/ecryptnet/
Paris Crypto Day

École Normale Supérieure
Paris
27 June 2017

David Evans

June 27, 2017
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  1. Secure Multi-Party Computation: Promises, Protocols, and Practicalities David Evans University

    of Virginia (visiting Inria Paris) École Normale Supérieure Paris 27 June 2017 ECRYPT NET Workshop on Crypto for the Cloud & Implementation
  2. Motivating Secure Multi-Party Computation 1982-2010 2011-2017 Yao’s Millionaire’s Problem Genetic

    Matchr WARNING! Reproduction not recommended processing… Genetic Dating if a < b: 0 else 1 2
  3. 3

  4. 4

  5. Decentralized Certificate Authority Alice’s Cert Cafe Bob’s Trust Emporium Key

    Generation Protocol # ← 0, 1 ) * ← 0, 1 ) (for = # ⨁ * ) s never exists in clear 5
  6. Signing a Certificate Certificate Signing Protocol # ← 0, 1

    ) # ← 0, 1 ) = (tbsCert# ) if = *: sign34,4 () = # ⊕ * , = # ⊕ * never exist in clear * ← 0, 1 ) * ← 0, 1 ) * = (tbsCert* ) Alice’s Cert Cafe Bob’s Trust Emporium 6
  7. Secure Two-Party Computation Can Alice and Bob compute a function

    on private data, without exposing anything about their data besides the result? = (, ) Alice’s Secret Input: Bob’s Secret Input: Alice’s Cert Cafe Bob’s Trust Emporium 7
  8. Secure Two-Party Computation Can Alice and Bob compute a function

    on private data, without exposing anything about their data besides the result? = (, ) Alice’s Secret Input: Bob’s Secret Input: Alice’s Cert Cafe Bob’s Trust Emporium 8
  9. Yao’s Garbled Circuit Protocol Alice (circuit generator) Bob (circuit evaluator)

    Garbled Circuit Protocol secret input secret input Agree on function = (, ) = (, ) Learns nothing else about b Learns nothing else about a 10 skip?
  10. “Obfuscated” Logic Inputs Output a b < < < <

    ? < ? < < ? ? ? AND @ , @ , @ are random values, chosen by generator but meaningless to evaluator. 12
  11. Garbled Logic Inputs Output a b < < BC,DC (<

    ) < ? BC,DE (< ) ? < BE,DC (< ) ? ? BE,DE (? ) AND @ , @ , @ are random wire labels, chosen by generator 13
  12. Garbled Logic Inputs Output a b ? ? BC,DC (<

    ) < ? BC,DE (< ) ? < BE,DC (< ) ? ? BE,DE (? ) AND Garbled Table (Garbled Gate) 14
  13. Yao’s GC Protocol Alice (generator) Sends tables, her input labels

    (@ ) Bob (evaluator) Picks random values for <,? . <,? , <,? BC,DC (< ) BC,DE (< ) BE,DC (< ) BE,DE (? ) Evaluates circuit, decrypting one row of each garbled gate Decodes output Generates garbled tables 15
  14. Yao’s GC Protocol Alice (generator) Sends tables, her input labels

    (@ ) Bob (evaluator) Picks random values for <,? . <,? , <,? Evaluates circuit, decrypting one row of each garbled gate Decodes output Generates garbled tables 16 BC,DC (< ) BC,DE (< ) BE,DC (< ) BE,DE (? ) How does the Bob learn his own input wire labels?
  15. Primitive: Oblivious Transfer (OT) Alice (sender) Bob (receiver) Oblivious Transfer

    Protocol , selector Learns nothing about Rabin, 1981; Even, Goldreich, and Lempel, 1985; … 17
  16. G0 G1 … G2 Chain gates to securely compute any

    discrete function! < < or ? < < < or ? < < ? or ? ? < ? or ? ? < < or ? < < ? or ? ? < L or ? L BC C,DC C(< <) BE C,DC C(< <) BC C,DE C(< <) BE C,DE C(? <) BC E,DC E(< ?) BE E,DC E(< ?) BC E,DE E(< ?) BE E,DE E(? ?) MC C,MC E(< L) ME C,MC E(< L) MC C,ME E(< L) ME C,ME E(? L)
  17. Building Computing Systems Digital Electronic Circuits Garbled Circuits Operate on

    known data Operate on encrypted wire labels 32-bit logical operation requires moving some electrons a few nm One-bit AND requires four encryptions Reuse is great! Reuse is not allowed! MC C,MC E(< L) ME C,MC E(< L) … 20
  18. Measuring Cost (2PC) Asymptotic Communication Rounds (1) Asymptotic Complexity ()

    Concrete Cost computation, encryptions, bandwidth $, € 21
  19. 22 1 000€ 10 000€ 100 000€ 1 000 000€

    10 000 000€ 100 000 000€ 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 FairPlay (Malkhi, Nisan, Pinkas and Sella [USENIX Sec 2004]) .5M € Estimated cost of 4T gates 2PC, compute only (bandwidth free)
  20. Ea1 ,b0 (x0 ) Ea0 ,b1 (x0 ) Ea1 ,b1

    (x1 ) Ea0 ,b0 (x0 ) Simple Garbling Try all four, validation bits to determine valid output
  21. Background: Point-and-Permute Enca0,,b0, (c0 ) Enca0,,b1 (c0 ) Enca0,,b0 (c0

    ) Enca1,b1 (c1 ) Input wire labels (with selection bits) Output wire label Beaver, Micali and Rogaway [STOC 1990] 26 Select random bit for each wire: Set last bit of 0 to , 1 to ¬ Order table canonically: 00/01/10/11
  22. Yan Huang, David Evans, and Jonathan Katz. Private Set Intersection:

    Are Garbled Circuits Better than Custom Protocols? [NDSS 2012] 30 Yan Huang (UVa PhD 2012 → Indiana) Jonathan Katz (Maryland)
  23. Yan Huang, David Evans, and Jonathan Katz. Private Set Intersection:

    Are Garbled Circuits Better than Custom Protocols? [NDSS 2012]
  24. Yan Huang, David Evans, and Jonathan Katz. Private Set Intersection:

    Are Garbled Circuits Better than Custom Protocols? [NDSS 2012] swap gates (configured by generator) to do random permutation Journal of the ACM, January 1968
  25. Two Halves Make a Whole Reducing Data Transfer in Garbled

    Circuits using Half Gates Samee Zahur, Mike Rosulek, and David Evans. In EuroCrypt 2015. Samee Zahur (UVa PhD 2016 → Google) + = 36 Mike Rosulek (Oregon State)
  26. Evaluator Half-Gate But, we need a gate where both inputs

    are secret… Known to evaluator (but secret to generator)
  27. Half + Half = Full Secret Gate generator half gate

    evaluator half gate 38 “leaked” unknown known unknown random bit selected by generator
  28. Standard Gates Half Gates Generator Encryptions (H) 4 4 Evaluator

    Encryptions (H) 1 2 Ciphertexts Transmitted 3 2 XORs Free ✓ ✓ Bandwidth ê33% Execution Time (edit distance) ê25% Energy ê21% 39
  29. Standard Gates Half Gates Generator Encryptions (H) 4 4 Evaluator

    Encryptions (H) 1 2 Ciphertexts Transmitted 3 2 XORs Free ✓ ✓ Bandwidth ê33% Execution Time ê25% Energy ê21% 40
  30. Standard Gates Half Gates Generator Encryptions (H) 4 4 Evaluator

    Encryptions (H) 1 2 Ciphertexts Transmitted 3 2 XORs Free ✓ ✓ Bandwidth ê33% Execution Time ê25% Energy ê21% 41 Unless bandwidth is “free”, real cost (€) is almost all bandwidth!
  31. Fairplay 43 Malkhi, Nisan, Pinkas and Sella [USENIX Sec 2004]

    SFDL Program SFDL Compiler Circuit (SHDL) Garbled Tables Generator Garbled Tables Evaluator SFDL Compiler
  32. Pipelined Execution Circuit-Level Application GC Framework (Evaluator) GC Framework (Generator)

    Circuit Structure Circuit Structure Yan Huang (UVa PhD → Indiana U.) Yan Huang, David Evans, Jonathan Katz, and Lior Malka. Faster Secure Two-Party Computation Using Garbled Circuits. USENIX Security 2011. x1 x2 y1 y2 z1 z2
  33. 45 1 000€ 10 000€ 100 000€ 1 000 000€

    10 000 000€ 100 000 000€ 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Free-XOR Pipelining, +
  34. 46 1€ 10€ 100€ 1 000€ 10 000€ 100 000€

    1 000 000€ 10 000 000€ 100 000 000€ 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Free-XOR Pipelining, + Half Gates Estimated cost of 4T gates 2PC, compute only (bandwidth free)
  35. Semi-Honest (“Honest but Curious”) Alice Bob generated circuits generator oblivious

    transfer Evaluates output decoding/sharing = (, ) Only provides privacy and correctness guarantees if circuit is generated honestly!
  36. Standard Fix: “Cut-and-Choose” Generator (Alice) Evaluator (Bob) (1) instances of

    generated circuit (5) If okay, evaluate rest and select majority output (4) checks all revealed circuits (2) Challenge: choose a random subset (3) Keys for selected circuits Provides security against active attacker, but for reasonable security > 100 49
  37. 50 1€ 10€ 100€ 1 000€ 10 000€ 100 000€

    1 000 000€ 10 000 000€ 100 000 000€ 1000 000 000€ 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Semi-Honest Active Security (cut-and-choose)
  38. Semi-Honest is Half-Way There Privacy Nothing is revealed other than

    the output (Not) Correctness The output of the protocol is (, ) Generator Evaluator As long as evaluator doesn’t send result (or complaint) back, privacy for evaluator is guaranteed. 51
  39. Dual Execution Protocol Alice Bob first round execution (semi-honest) generator

    evaluator generator evaluator = (, ) Pass if = ’ and correct wire labels ’, learned output wire labels second round execution (semi-honest) ′ = (, ) z, learned output wire labels fully-secure, authenticated equality test 53
  40. Security Properties Correctness: Guaranteed by authenticated, secure equality test Privacy:

    Leaks one (extra) bit on average adversarial circuit fails on ½ of inputs 54 Malicious generator can decrease likelihood of being caught, and increase information leaked when caught (but decreases average information leaked): at extreme, circuit fails on just one input.
  41. Proving Security: Malicious A B Ideal World Adversary receives: (,

    ) Trusted Party in Ideal World Standard Malicious Model: can’t prove this for Dual Execution Real World A B Show equivalence Corrupted party behaves arbitrarily Secure Computation Protocol 55
  42. Proof of Security: One-Bit Leakage A B Ideal World Controlled

    by malicious A Î ® {0, 1} is an arbitrary Boolean function selected by adversary Adversary receives: (, ) and (, ) Trusted Party in Ideal World 56
  43. 58 1€ 10€ 100€ 1 000€ 10 000€ 100 000€

    1 000 000€ 10 000 000€ 100 000 000€ 1000 000 000€ 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Semi-Honest Active Security (cut-and-choose) Dual Execution
  44. Problem Size Time / Cost (semi-honest) Genomic Distance [Zahur+, iDash

    Genome Privacy 2015] Compare sample human SNP datasets (4.5M variations) 8 seconds (∼ $0.00) Secure Stable Matching [Doerner+. ACM CCS 2016] National Residency Match (35,000 candidates, 30,000 slots) 17 hours (∼ $15) Secure Linear Regression [Gascon+, PETS 2017] 1M elements, 200 features, 2 parties (vertically- partitioned) 40 minutes (∼ $0.50) Running between 2 EC2.c4xlarge nodes in same region (1 Gbps) 60
  45. Real Costs are People 61 Problem Size Time People Cost

    Secure Stable Matching [Doerner, Evans, shelat. ACM CCS 2016] National Residency Match 17 hours (∼ $15) ∼$1M Secure Linear Regression [Gascon+, PETS 2017] 1M elements, 200 features, 2 parties (vertically- partitioned) 40 minutes (∼ $0.50) ∼$2M Not our real costs, assuming market wages!
  46. Library-based frameworks: Circuit-level programs Full control Low-level programming Little type

    safety High-level Languages Little control High-level programming Strong type safety High-level programming Low-level customizability Helpful, escapable type checking Tools for Building Secure Computations 62 oblivc.org
  47. Circuit for Array Update 64 i == 0 a[0] x

    a'[0] Linear Scan: need to touch every array element to hide which one is real i == 1 a[1] x a'[1] i == 2 a[2] x a'[2] i == 3 a[3] x a'[3] …
  48. Traditional ORAM Client Untrusted Server [Goldreich 1987] Security property: all

    initialization and access sequences of the same length are indistinguishable to server. Sublinear client- side state Linear server-side encrypted state Initialize Access 65
  49. RAM-SC [Gordon, Katz, Kolesnikov, Krell, Malkin, Raykova, Vahlis 2012] Alice

    Bob MPC Protocol Public ORAM state Public ORAM state Encrypted Results Oblivious ORAM state Initialize Access 66
  50. Oblivious RAM Samee Zahur, Xiao Wang, Mariana Raykova, Adrià Gascón,

    Jack Doerner, David Evans, Jonathan Katz. Revisiting Square-Root ORAM. IEEE S&P 2016 (https://oblivc.org/sqoram/. 67
  51. Z3 (1941) 70 Whirlwind I (1951) 30 s, 2048 x

    16-bit words 16-byte blocks 32-byte blocks
  52. Decentralized Certificate Authority MPC Signing Protocol # ← 0, 1

    ) # ← 0, 1 ) = (tbsCert# ) if = *: sign34,4 () = # ⊕ * , = # ⊕ * never exist in clear * ← 0, 1 ) * ← 0, 1 ) * = (tbsCert* ) Alice’s Cert Cafe Bob’s Trust Emporium 71
  53. Cost of Decentralizing Trust ECDSA Signing (secp192k1): 22 Billion gates

    Same Region AWS Virginia- California AWS-Azure Semi-Honest $0.33 $8.54 ∽$37 Dual Execution $0.65 $17.07 ∽$74
  54. Cost of Decentralizing Trust ECDSA Signing (secp192k1): 22 Billion gates

    Same Region AWS Virginia- California AWS-Azure Semi-Honest $0.33 $8.54 ∽$37 Dual Execution $0.65 $17.07 ∽$74
  55. Cost of Decentralizing Trust ECDSA Signing (secp192k1): 22 Billion gates

    Same Region AWS Virginia- California AWS-Azure Semi-Honest $0.33 $8.54 ∽$37 Dual Execution $0.65 $17.07 ∽$74
  56. 75