Quantum Attacks on Symmetric Cryptography Gregor Leander (joint work - - PowerPoint PPT Presentation

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Quantum Attacks on Symmetric Cryptography Gregor Leander (joint work - - PowerPoint PPT Presentation

Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion Quantum Attacks on Symmetric Cryptography Gregor Leander (joint work with Alex May) MMC 2017 Introduction Quantum Basics Grover Grover


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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Quantum Attacks on Symmetric Cryptography

Gregor Leander (joint work with Alex May) MMC 2017

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Outline

1

Introduction

2

Quantum Basics

3

Grover

4

Grover and Simon on Symmetric Crypto

5

The FX Construction

6

Conclusion

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Main Message

Quantum attacks on symmetric schemes understudied. Basic conclusion is: double the key-length. Two most popular generic ways of doing so:

Multiple-encryption FX-construction

Both not as good as you might think.

Multiple encryption: Kaplan 2014 FX construction: This talk

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My Master Thesis (I/II)

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

My Master Thesis(II/II)

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Outline

1

Introduction

2

Quantum Basics

3

Grover

4

Grover and Simon on Symmetric Crypto

5

The FX Construction

6

Conclusion

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From Bits to Qubits

One Qubit The state x of one Qubit is a unit vector in C2. Just notation: |0 = 1

  • and

|1 = 1

  • Examples for states:

x0 = |0 ≈ 0 x1 = |1 ≈ 1 x2 = α0 |0 + α1 |1 ≈? where ||α0||2 + ||α1||2 = 1

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Two Qubits

Two Qubits The state x of two Qubits is a unit vector in C2 ⊗ C2 ∼ = C4. (Not) just notation: |0 |0 = |00 =     1     and |0 |1 = |01 =     1     |1 |0 = |10 =     1     and |1 |1 = |11 =     1    

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Two Qubits

Two Qubits The state x of two Qubits is a unit vector in C2 ⊗ C2 ∼ = C4. Examples for states: x0 = |00 ≈ 00 x1 = |10 ≈ 10 x2 = α00 |00 + α01 |01 + α10 |10 + α11 |11 ≈? where ||α00||2 + ||α01||2 + ||α10||2 + ||α11||2 = 1

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n Qubits

n Qubits The state x of n Qubits is a unit vector in

  • C2⊗n ∼

= C2n. Notation For x ∈ Fn

2 we denote

|x = |x1, . . . , xn = |x1 . . . |xn = ex Examples: φ1 = |x ≈ x

  • r

φ2 =

  • x∈Fn

2

αx |x ≈? where

  • x∈Fn

2

||αx||2 = 1

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Computation: The principle

Given a quantum computer with n Qubits. φ =

  • x∈Fn

2

αx |x How do we conpute on that? How does the state change?

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Computation: The principle

Given a quantum computer with n Qubits. φ =

  • x∈Fn

2

αx |x How do we conpute on that? How does the state change? Computation = Unitary Matrices Any computation on a Quantum Computer corresponds to applying an unitary matrix. Evolution of the state: φ ⇒ Uφ As U is unitary: ||φ||2 = ||Uφ||2 = 1

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Example: XOR

Two Qubit XOR: XOR Find U such that |ab = |a |b → |a |a ⊕ b

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Example: XOR

Two Qubit XOR: XOR Find U such that |ab = |a |b → |a |a ⊕ b On the basis we get: U |00 = |00 U |01 = |01 U |10 = |11 U |11 = |10

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Example: XOR

Two Qubit XOR: XOR Find U such that |ab = |a |b → |a |a ⊕ b

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Example: XOR

Two Qubit XOR: XOR Find U such that |ab = |a |b → |a |a ⊕ b A permutation matrix: U =     1 1 1 1    

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More general: Boolean Function

n Qubit Boolean Function: f : Fn

2 → F2

Uf on (n + 1) Qubits Find Uf such that for all a ∈ Fn

2 and b ∈ F2:

|ab = |a |b → |a |f(a) ⊕ b Uf is quantum version of f Again a permutation matrix Efficient if f is efficient on classical computers.

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Non classical: Conditional Flip

One Qubit, no classical equivalent: Phase flipping Consider U such that |a → (−1)a |a U |0 = |0 U |1 = − |1 As a matrix: U = 1 −1

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Last but not least: Hadamard

One one Qubit, again no classical equivalent: Hadamard (ignoring scaling) Consider U such that |a → |0 + (−1)a |1 U |0 = |0 + |1 U |1 = |0 − |1 As a matrix: U = 1 1 1 −1

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Last but not least: Hadamard

Generalization to n Qubits: Hadamard on n Qubits Consider H⊗n such that |a →

  • x

(−1)a,x |x H⊗n is H applied to each Qubit. Thus, it is efficient if H is. Special case: H⊗n |0 =

  • x∈Fn

2

|x

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All Executions at Once

A small example Putting things together: First H, then Uf. |0 |0 →

  • x∈Fn

2

|x |0 →

  • x∈Fn

2

|x |f(x) We evaluated a function on all inputs at once! Invisible We cannot classicaly use the result w/o measuring.

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Measurement

Make it classical In order to use the output of a QC classically, we have to measure the state. Consider an n-Qubit state: φ =

  • x∈Fn

2

αx |x Measurement The measurement M(φ) of φ results in x with probability ||αx||2.

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Measurement

Example on two Qubits x = 1 √ 2 |00 − 1 √ 2 |11 M(φ) = 00 with probability 1/2 M(φ) = 11 with probability 1/2 M(φ) = 10 with probability M(φ) = 00 with probability Task of Quantum Computing Make the correct/interessting result appear with overwhelming probability.

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Outline

1

Introduction

2

Quantum Basics

3

Grover

4

Grover and Simon on Symmetric Crypto

5

The FX Construction

6

Conclusion

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The Setting

Generic Search Problem Given f : Fn

2 → F2 such that

f(x) = 1 if x = x0 if x = x0 find x0. Classically: We need O(2n) evaluations of f. Grover’s Solution On a quantum computer, we get away with running time O(2n/2)!

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The Components

Hadamard H⊗n |a →

  • x

(−1)a,x |x Uf as phase flipping |x → (−1)f(x) |x Missing piece: Reflection across the mean of αx.

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Reflection Across the Mean

Unitary Reflection Map We consider the mapping R = 2P − I where P = 1 2n

  • i,j∈{1..2n}

Applied to φ =

x αx |x we get

(Rφ)j = (P − (I − P)φ)j = α − (αj − α) where α = 1 2n

  • x

αx Not discussed here: R is efficient if H is.

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Grover’s Algorithm

Grover’s Algorithm

1

Start with |0

2

Apply H⊗n

3

Repeat t times

1

Apply Uf as phase flipping

2

Apply reflection R

4

Measure the state. If t ≈ 2n/2 then result is x0 with high probability. Proof

  • No. But pictures.
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Example of Grover’s Algo

With 3 Qubits f : F3

2 → F2

where f(x) = 1 ⇔ x = 3

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Introduction Quantum Basics Grover Grover and Simon on Symmetric Crypto The FX Construction Conclusion

Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Example of Grover’s Algo

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Generalization of Grover: Amplitude Amplification

Brassard, Høyer (’97) generalized the idea: Given A classically efficient function that decides if a state is good or bad A quantum algorithm that results in a good state with probability p. O(p−1/2) iterations of generalized Grover will result in a good state with large probability.

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Outline

1

Introduction

2

Quantum Basics

3

Grover

4

Grover and Simon on Symmetric Crypto

5

The FX Construction

6

Conclusion

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Quantum Attacks on Symmetric Crypto

Basically two attacks known: Simon’s Algorithm Used to e.g. break Even-Mansour Grover’s Algorithm Used to speed-up brute force

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Grover’s Algorithm to break block ciphers

Generic block cipher Enc(m) = Ek(m) m Ek c Conversion into Grover’s problem (given a message/cipher-text pair): f(x) = 1 if Ex(m) = c else The Attack Apply Grover’s Algorithm to f. Recover k in time O(2n/2).

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Simon’s Algorithm

Simon’s Algorithm Given F : Fn

2 → Fn 2 such that ∃s

F(x) = F(x + s) ∀x than one can recover s in linear time. Originally: F(x) = F(y) ⇔ y = x + s Used by Kuwakado and Morii to break Even-Mansour Extended to many modes in [KLLNP]

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Simon’s Algorithm to break EM

The Even-Mansour scheme: Enc(m) = E(m + k0) + k1 m k0 P k1 c Conversion into Simon’s problem: F(x) = Enc(x) + P(x) Then F(x) = F(x + k0) The Attack (with quantum queries) Apply Simon’s algorithm to F. Recover k0 in linear time.

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Outline

1

Introduction

2

Quantum Basics

3

Grover

4

Grover and Simon on Symmetric Crypto

5

The FX Construction

6

Conclusion

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Combine?

We can break: Generic Ciphers m Ek c Time: O(2n/2) Even-Mansour m k0 P k1 c Time: O(n) What about combining this?

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The FX-Construction

FX-Construction m k0 Ek k1 c Question How to attack the FX construction in a quantum setting?

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Attacking the FX construction

Question How to attack the FX construction in a quantum setting? This is actually a question about: Combining Simon and Grover How to combing Simon’s and Grover’s algorithm? Let’s have a closer look.

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Inside Simon’s Algorithm

Key-features: Requires to implement Enc(x) + P(x) as unitary embedding. Running once and measuring results in x s.t. k0, x = 0 Running n +ǫ times results in k0 by solving linear equations

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Inside Grover’s Algorithm (Amplitude Amplification)

Key-features: Requires a quantum algorithm A with initial success probability p. Requires phase-flipping for good states Running p−1/2 times results in a good state with high prob.

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Combining: Avoid Measurements

Approach: Use Simon’s algo for A Problem Measuring not allowed in A for Grover. Simon’s algo requires measuring.

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Combining: Avoid Measurements

Approach: Use Simon’s algo for A Problem Measuring not allowed in A for Grover. Simon’s algo requires measuring. Sketch of the solution: Run n + ǫ Simons in parallel Linear algebra to compute candidate for k0 Check against message/cipher-text pairs If that fits: flip the phase

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Parallel Simon: A bit more details

m k0 Ek3 k1 c Running Simon’s Algorithm in parallel results in states φ =

  • k′

3,x=(x1,...,xs)

αk′

3,x |k |x

=

  • k′

3,x=(x1,...,xs)

αk′

3,x |k |x1, . . . , xs

such that αx,k3 = 0 ⇒ xi, k0 = 0 for all i. Question How do we continue without measuring?

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Parallel Simon: A bit more details

m k0 Ek3 k1 c φ =

  • k′

3,x=(x1,...,xs)

αk′

3,x |k |x

such that αk3,x = 0 ⇒ xi, k0 = 0 for all i. We have to identify good states. Good States States where k′

3 = k3.

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Parallel Simon: A bit more details

Good States States where k′

3 = k3.

Given |k |x1, . . . , xs we compute U = x1, . . . , xs⊥ If dim U = n state is bad. If dim U < n − 1 state is bad. Otherwise: We found our candidate key U = k′

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Parallel Simon: A bit more details

We found our candidate key U = k′ Here: Check if k′

3, k0’ matches with known cipher-text/plain-text

pairs YES: state is good. NO: state is bad. Efficient Classification of states is efficient. Remains: Check that error probability is small.

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Result

m k0 Ek3 k1 c Result The FX construction can be broken in time O(2n/2). Quantum computer gets n times bigger.

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Outline

1

Introduction

2

Quantum Basics

3

Grover

4

Grover and Simon on Symmetric Crypto

5

The FX Construction

6

Conclusion

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Conclusion

In a quantum world m k0 Ek k1 c is as secure (linear overhead) as m Ek c

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Key-Alternating Ciphers

m k0 R1 k1 R2 Rr−1 kr−1 Rr kr c

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Key-Alternating Ciphers

m R1 k1 R2 Rr−1 kr−1 Rr c

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Key-Alternating Ciphers

m k1 R2 Rr−1 kr−1 c

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Key-Alternating Ciphers

m R2 Rr−1 c

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Key-Alternating Ciphers

m c Polynomial attack on key-alternating ciphers

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Key-Alternating Ciphers

m c Polynomial attack on key-alternating ciphers does not work like that

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Future Work

Possible future topics: Correct attacks on key-alternating ciphers Other applications of Simon/Grover combination

Thank you.