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Ensuring High-Quality Randomness in Cryptographic Key Generation Henry Corrigan-Gibbs, Wendy Mu, Dan Boneh - Stanford Bryan Ford - Yale 20 th ACM Conference on Computer and Communications Security 6 November 2013

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Image courtesy NASA Johnson Space Center n = pq

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[Heninger et al. USENIX Sec 12] [Lenstra et al. CRYPTO 12] If keys are the same Can read neighbors traffic If keys share a factor Anyone can factor RSA modulus gcd(n, n) = gcd(pq, pq) = p 100,000s of vulnerable keys

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Common Failure Modes 1) App never reads strong random values bytes = Hash(time(), get_pid(), pwd); [CVE , CVE , CVE , CVE , CVE , CVE , CVE ] 2) App misuses random values bytes = read_block(/dev/random); //... bytes = Hash(time()); [CVE , CVE , CVE , CVE ]

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State of the art Does this key incorporate strong randomness?

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State of the art ?!?!?!

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State of the art CA ?!?!?!

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Goal Does this key incorporate strong randomness? CA

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Random values Device Entropy Authority (EA) bytes = read_from_EA(); //... bytes = Hash(time());

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Incorporate local and remote randomness into secrets Check proof, Sign pk Random values, proof Device Entropy Authority (EA) Proof does not reveal the devices secrets EA

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Goal CA vouches for identity EA vouches for randomness EA EAs signature

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1)Output public key is as random as possible key_entropy = max(device_entropy, ea_entropy); 2)If device uses strong randomness source, it is no worse off by running the protocol – Does not leak secrets to EA System Goals

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Outline Motivation Threat Model Protocol Evaluation

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Outline Motivation Threat Model Protocol Evaluation

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Threat model Adversary: can eavesdrop on everything except for a one-time set-up phase Device: tries to generate correctly formed key drawn from distribution with low min-entropy – Device is correct otherwise Captures many real-world randomness threats

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Preliminaries Homomorphic commitments [Pedersen, Crypto 91] –Commitment to x: C(x) = g x h r –Given C(x) and C(y), can compute C(x+y) ZK proof of knowledge for multiplication –Given C(x), C(y), z, prove in zero knowledge that z = xy mod Q –bool Verify(π, C(x), C(y), z)

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Outline Motivation Threat Model Protocol Evaluation

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C(x), C(y) x, y n, δ x, δ y, π Find δs to make p = x+x+δ x q = y+y+δ y RSA primes. π = Prove(n=pq). Check δs are small Verify(π, C(p), C(q), n), sign public key Prevents device from setting x = –x σ(n) C(p) = C(x)g x+δ x Prevents device from setting δ x = –x

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Security Properties If the device uses strong randomness EA learns no useful info about the secrets If the device uses strong randomness OR the EA is correct: Device ends up with a strong key Even if the EA is untrustworthy, device is better off running the protocol

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C(x), C(y) x, y n, δ x, δ y, π Zero-knowledge proof leaks no info δs are O(log p), so they dont leak much Claim 1: If device uses strong randomness, EA learns no useful info Randomized commitments leak no info

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C(x), C(y) x, y n, δ x, δ y, π Claim 2: Correct EA will never sign a key sampled from a distribution with low min-entropy Given x, x, y, y, there are only a few valid keys

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C(x), C(y) x, y n, δ x, δ y, π Claim 2: Correct EA will never sign a key sampled from a distribution with low min-entropy A faulty devices only option is to pick a tricky x and y We prove that no such tricky values exist

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Multiple Entropy Authorities

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Outline Motivation Threat Model Protocol Evaluation

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Key Generation Time No protoProtoProto+netSlowdown RSA x EC-DSA x Wall-clock time (in seconds) to generate a key on a Linksys E2500-NP home router. EA is modern Linux server 5000 km away (80ms RTT) Less than 2x slowdown for RSA Less than 2 seconds for EC-DSA

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Computational Overhead Overhead diminishes for RSA keys Slowdown tends to 4x for EC-DSA keys

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Computational Bottlenecks RSA-2048 key on Linksys E2500-NP home router Protocol cost

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Related Work Hedged PKC [Bellare et al., ASIACRYPT 09] Better random values –Hardware RNG –Entropics [Mowery et al. Oakland 13] Juels-Guajardo Protocol [PKC 02] –Defends against kleptography –Requires heavier primitives (24x more big exponentiations)

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Today ?!?!?!?!

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With our protocol EA

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Conclusion Using entropy authorities is a practical way to prevent weak cryptographic keys Other parts of the stack need help too –Signing nonces, ASLR, DNS source ports, … Interested in running an entropy authority? Lets talk!

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Questions? Henry Corrigan-Gibbs Thanks to David Wolinsky, Ewa Syta, Phil Levis, Suman Jana, and Zooko Wilcox-OHearn.

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p q Q Q Warning: Simplification ahead!

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p q Q Q x y x+2 k y+2 k x and y are k-bit values, so box has area 2 2k Picked by device Max EA value Order of group 2k2k 2k2k

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p q Q Q x y x+2 k y+2 k x y EAs random choice of x and y determines n (+/- δs)

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p q Q Q x y x+2 k y+2 k x y

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p q Q Q x y x+2 k y+2 k x y We prove: for every valid n, the chance that EA lands on n is negligible

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p q Q Q x y x+2 k y+2 k x y

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p q Q Q x y x+2 k y+2 k x y

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p q Q Q x y x y

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p q Q Q x y x+2 k y+2 k x y Proof holds no matter how the device picks x, y

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Our Goal Device Entropy Authority Strong randomness Weak randomness Strong randomness Weak randomness / Malicious Reveals devices secrets to EA only

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