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Efficient pseudorandom generators based on the ddh assumption, ePrint 2006/321
- In PKC 2007, volume ???? of LNCS
, 2007
"... Abstract. A family of pseudorandom generators based on the decisional Diffie-Hellman assumption is proposed. The new construction is a modified and generalized version of the Dual Elliptic Curve generator proposed by Barker and Kelsey. Although the original Dual Elliptic Curve generator is shown to ..."
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Cited by 5 (0 self)
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Abstract. A family of pseudorandom generators based on the decisional Diffie-Hellman assumption is proposed. The new construction is a modified and generalized version of the Dual Elliptic Curve generator proposed by Barker and Kelsey. Although the original Dual Elliptic Curve generator is shown to be insecure, the modified version is provably secure and very efficient in comparison with the other pseudorandom generators based on discrete log assumptions. Our generator can be based on any group of prime order provided that an additional requirement is met (i.e., there exists an efficiently computable function that in some sense enumerates the elements of the group). Two specific instances are presented. The techniques used to design the instances, for example, the new probabilistic randomness extractor are of independent interest for other applications. 1
This is the full Pseudorandom Functions and Permutations Provably Secure Against Related-Key Attacks
, 2010
"... This paper fills an important foundational gap with the first proofs, under standard assumptions and in the standard model, of the existence of pseudorandom functions (PRFs) and pseudorandom permutations (PRPs) resisting rich and relevant forms of related-key attacks (RKA). An RKA allows the adversa ..."
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Cited by 4 (0 self)
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This paper fills an important foundational gap with the first proofs, under standard assumptions and in the standard model, of the existence of pseudorandom functions (PRFs) and pseudorandom permutations (PRPs) resisting rich and relevant forms of related-key attacks (RKA). An RKA allows the adversary to query the function not only under the target key but under other keys derived from it in adversary-specified ways. Based on the Naor-Reingold PRF we obtain an RKA-PRF whose keyspace is a group and that is proven, under DDH, to resist attacks in which the key may be operated on by arbitrary adversary-specified group elements. Previous work was able only to provide schemes in idealized models (ideal cipher, random oracle), under new, non-standard assumptions, or for limited classes of attacks. The reason was technical difficulties that we resolve via a new approach and framework that, in addition to the above, yields other RKA-PRFs including a DLIN-based one derived from the Lewko-Waters PRF. Over the last 15 years cryptanalysts and blockcipher designers have routinely and consistently targeted RKA-security; it is visibly important for abuse-resistant cryptography; and it helps protect against fault-injection sidechannel attacks. Yet ours are the first significant proofs of existence of secure constructs. We warn that our constructs are proofs-of-concept
HMAC is a randomness extractor and applications to TLS
- In ACM Symposium on Information, Computer and Communications Security (ASIACCS’08
, 2008
"... Abstract. In this paper, we study the security of a practical randomness extractor and its application in the tls standard. Randomness extraction is the first stage of key derivation functions since the secret shared between the entities does not always come from a uniformly distributed source. More ..."
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Cited by 3 (1 self)
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Abstract. In this paper, we study the security of a practical randomness extractor and its application in the tls standard. Randomness extraction is the first stage of key derivation functions since the secret shared between the entities does not always come from a uniformly distributed source. More precisely, we wonder if the Hmac function, used in many standards, can be considered as a randomness extractor? We show that when the shared secret is put in the key space of the Hmac function, there are two cases to consider depending on whether the key is larger than the block-length of the hash function or not. In both cases, we provide a formal proof that the output is pseudorandom, but under different assumptions. Nevertheless, all the assumptions are related to the fact that the compression function of the underlying hash function behaves like a pseudo-random function. This analysis allows us to prove the tls randomness extractor for Diffie-Hellman and RSA key exchange. Of independent interest, we study a computational analog to the leftover hash lemma for computational almost universal hash function families: any pseudo-random function family matches the latter definition. 1
Optimal randomness extraction from a DiffieHellman element
- EUROCRYPT 2009, volume 5479 of LNCS
, 2009
"... Abstract. In this paper, we study a quite simple deterministic randomness extractor from random Diffie-Hellman elements defined over a prime order multiplicative subgroup G of a finite field Zp (the truncation), and over a group of points of an elliptic curve (the truncation of the abscissa). Inform ..."
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Abstract. In this paper, we study a quite simple deterministic randomness extractor from random Diffie-Hellman elements defined over a prime order multiplicative subgroup G of a finite field Zp (the truncation), and over a group of points of an elliptic curve (the truncation of the abscissa). Informally speaking, we show that the least significant bits of a random element in G ⊂ Z ∗ p or of the abscissa of a random point in E(Fp) are indistinguishable from a uniform bit-string. Such an operation is quite efficient, and is a good randomness extractor, since we show that it can extract nearly the same number of bits as the Leftover Hash Lemma can do for most Elliptic Curve parameters and for large subgroups of finite fields. To this aim, we develop a new technique to bound exponential sums that allows us to double the number of extracted bits compared with previous known results proposed at ICALP’06 by Fouque et al. It can also be used to improve previous bounds proposed by Canetti et al. One of the main application of this extractor is to mathematically prove an assumption proposed at Crypto ’07 and used in the security proof of the Elliptic Curve Pseudo Random Generator proposed by the NIST. The second most obvious application is to perform efficient key derivation given Diffie-Hellman elements. 1
HMAC is a Randomness Extractor and Applications to TLS ABSTRACT
"... In this paper, we study the security of a practical randomness extractor and its application in the tls standard. Randomness extraction is the first stage of key derivation functions since the secret shared between the entities does not always come from a uniformly distributed source. More precisely ..."
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In this paper, we study the security of a practical randomness extractor and its application in the tls standard. Randomness extraction is the first stage of key derivation functions since the secret shared between the entities does not always come from a uniformly distributed source. More precisely, we wonder if the Hmac function, used in many standards, can be considered as a randomness extractor? We show that when the shared secret is put in the key space of the Hmac function, there are two cases to consider depending on whether the key is larger than the block-length of the hash function or not. In both cases, we provide a formal proof that the output is pseudo-random, but under different assumptions. Nevertheless, all the assumptions are related to the fact that the compression function of the underlying hash function behaves like a pseudo-random function. This analysis allows us to prove the tls randomness extractor for Diffie-Hellman and RSA key exchange. Of independent interest, we study a computational analog to the leftover hash lemma for computational almost universal hash function families: any pseudo-random function family matches the latter definition.
Strong Designated Verifier Signature in a Multi-user Setting
"... The security of strong designated verifier (SDV) signature schemes has thus far been analyzed only in a two-user setting. We observe that security in a twouser setting does not necessarily imply the same in a multi-user setting for SDV signatures. Moreover, we show that existing security notions do ..."
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The security of strong designated verifier (SDV) signature schemes has thus far been analyzed only in a two-user setting. We observe that security in a twouser setting does not necessarily imply the same in a multi-user setting for SDV signatures. Moreover, we show that existing security notions do not adequately model the security of SDV signatures even in a twouser setting. We then propose revised notions of security in a multi-user setting and show that no existing scheme satisfies these notions. A new SDV signature scheme is then presented and proven secure under the revised notions in the standard model. For the purpose of constructing the SDV signature scheme, we propose a one-pass key establishment protocol in the standard model, which is of independent interest in itself.
Efficient Simultaneous Broadcast
"... We present an efficient simultaneous broadcast protocol ν-SimCast that allows n players to announce independently chosen values, even if up to t < n players are corrupt. Independence is guaranteed in the partially syn-2 chronous communication model, where communication is structured into rounds, whi ..."
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We present an efficient simultaneous broadcast protocol ν-SimCast that allows n players to announce independently chosen values, even if up to t < n players are corrupt. Independence is guaranteed in the partially syn-2 chronous communication model, where communication is structured into rounds, while each round is asynchronous. The ν-SimCast protocol is more efficient than previous constructions. For repeated executions, we reduce the communication and computation complexity by a factor O(n). Combined with a deterministic extractor, ν-SimCast provides a particularly efficient solution for distributed coin-flipping. The protocol does not require any zero-knowledge proofs and is shown to be secure in the standard model under the Decisional Diffie Hellman assumption.

