3D: A Three-Dimensional Block Cipher

The main contribution of this paper is a new iterated secret- key block cipher called 3D, inspired by the AES cipher. The 3D cipher has an SPN design, operates on 512-bit blocks, uses 512-bit keys, it- erates 22 rounds, and employs a 3-dimensional state, instead of the 2- dimensional matrix of the AES. The main innovation of 3D includes the multi-dimensional state, generalizing the design of Rijndael, and allow- ing block sizes beyond the 256-bit boundary. This features motivates the use of 3D as a building block for compression functions in hash functions, MAC and stream cipher constructions requiring large internal states. We explain the design decisions and discuss the security of 3D under several attack settings.

Cryptographic Hash Functions in Groups and Provable Properties

Juraj Sarinay

We consider several "provably secure" hash functions that compute simple sums in a well chosen group (G,*). Security properties of such functions provably translate in a natural way to computational problems in G that are simple to define and possibly also hard to solve. Given k disjoint lists Li of group elements, the k-sum problem asks for gi ∊ Li such that g1 * g2 ... gk = 1G. Hardness of the problem in the respective groups follows from some "standard" assumptions used in public-key cryptology such as hardness of integer factoring, discrete logarithms, lattice reduction and syndrome decoding. We point out evidence that the k-sum problem may even be harder than the above problems. Two hash functions based on the group k-sum problem, SWIFFTX and FSB, were submitted to NIST as candidates for the future SHA-3 standard. Both submissions were supported by some sort of a security proof. We show that the assessment of security levels provided in the proposals is not related to the proofs included. The main claims on security are supported exclusively by considerations about available attacks. By introducing "second-order" bounds on bounds on security, we expose the limits of such an approach to provable security. A problem with the way security is quantified does not necessarily mean a problem with security itself. Although FSB does have a history of failures, recent versions of the two above functions have resisted cryptanalytic efforts well. This evidence, as well as the several connections to more standard problems, suggests that the k-sum problem in some groups may be considered hard on its own, and possibly lead to provable bounds on security. Complexity of the non-trivial tree algorithm is becoming a standard tool for measuring the associated hardness. We propose modifications to the multiplicative Very Smooth Hash and derive security from multiplicative k-sums in contrast to the original reductions that related to factoring or discrete logarithms. Although the original reductions remain valid, we measure security in a new, more aggressive way. This allows us to relax the parameters and hash faster. We obtain a function that is only three times slower compared to SHA-256 and is estimated to offer at least equivalent collision resistance. The speed can be doubled by the use of a special modulus, such a modified function is supported exclusively by the hardness of multiplicative k-sums modulo a power of two. Our efforts culminate in a new multiplicative k-sum function in finite fields that further generalizes the design of Very Smooth Hash. In contrast to the previous variants, the memory requirements of the new function are negligible. The fastest instance of the function expected to offer 128-bit collision resistance runs at 24 cycles per byte on an Intel Core i7 processor and approaches the 17.4 figure of SHA-256. The new functions proposed in this thesis do not provably achieve a usual security property such as preimage or collision resistance from a well-established assumption. They do however enjoy unconditional provable separation of inputs that collide. Changes in input that are small with respect to a well defined measure never lead to identical output in the compression function.

EPFL2011

Design and Analysis of Multi-Block-Length Hash Functions

Onur Özen

Cryptographic hash functions are used in many cryptographic applications, and the design of provably secure hash functions (relative to various security notions) is an active area of research. Most of the currently existing hash functions use the Merkle-Damgård paradigm, where by appropriate iteration the hash function inherits its collision and preimage resistance from the underlying compression function. Compression functions can either be constructed from scratch or be built using well-known cryptographic primitives such as a blockcipher. One classic type of primitive-based compression functions is single-block-length : It contains designs that have an output size matching the output length n of the underlying primitive. The single-block-length setting is well-understood. Yet even for the optimally secure constructions, the (time) complexity of collision- and preimage-finding attacks is at most 2n/2, respectively 2n ; when n = 128 (e.g., Advanced Encryption Standard) the resulting bounds have been deemed unacceptable for current practice. As a remedy, multi-block-length primitive-based compression functions, which output more than n bits, have been proposed. This output expansion is typically achieved by calling the primitive multiple times and then combining the resulting primitive outputs in some clever way. In this thesis, we study the collision and preimage resistance of certain types of multi-call multi-block-length primitive-based compression (and the corresponding Merkle-Damgård iterated hash) functions : Our contribution is three-fold. First, we provide a novel framework for blockcipher-based compression functions that compress 3n bits to 2n bits and that use two calls to a 2n-bit key blockcipher with block-length n. We restrict ourselves to two parallel calls and analyze the sufficient conditions to obtain close-to-optimal collision resistance, either in the compression function or in the Merkle-Damgård iteration. Second, we present a new compression function h: {0,1}3n → {0,1}2n ; it uses two parallel calls to an ideal primitive (public random function) from 2n to n bits. This is similar to MDC-2 or the recently proposed MJH by Lee and Stam (CT-RSA'11). However, unlike these constructions, already in the compression function we achieve that an adversary limited (asymptotically in n) to O (22n(1-δ)/3) queries (for any δ > 0) has a disappearing advantage to find collisions. This is the first construction of this type offering collision resistance beyond 2n/2 queries. Our final contribution is the (re)analysis of the preimage and collision resistance of the Knudsen-Preneel compression functions in the setting of public random functions. Knudsen-Preneel compression functions utilize an [r,k,d] linear error-correcting code over 𝔽2e (for e > 1) to build a compression function from underlying blockciphers operating in the Davies-Meyer mode. Knudsen and Preneel show, in the complexity-theoretic setting, that finding collisions takes time at least 2(d-1)n2. Preimage resistance, however, is conjectured to be the square of the collision resistance. Our results show that both the collision resistance proof and the preimage resistance conjecture of Knudsen and Preneel are incorrect : With the exception of two of the proposed parameters, the Knudsen-Preneel compression functions do not achieve the security level they were designed for.

EPFL2012

Revisiting Iterated Attacks in the Context of Decorrelation Theory

Asli Bay, Atefeh Mashatan, Serge Vaudenay

Iterated attacks are comprised of iterating adversaries who can make d plaintext queries, in each iteration to compute a bit, and are trying to distinguish between a random cipher C and the perfect cipher C* based on all bits. Vaudenay showed that a 2d-decorrelated cipher resists to iterated attacks of order d. when iterations have almost no common queries. Then, he first asked what the necessary conditions are for a cipher to resist a non-adaptive iterated attack of order d. I.e., whether decorrelation of order 2d-1 could be sufficient. Secondly, he speculated that repeating a plaintext query in different iterations does not provide any advantage to a non-adaptive distinguisher. We close here these two long-standing open problems negatively. For those questions, we provide two counter-intuitive examples. We also deal with adaptive iterated adversaries who can make both plaintext and ciphertext queries in which the future queries are dependent on the past queries. We show that decorrelation of order 2d protects against these attacks of order d. We also study the generalization of these distinguishers for iterations making non-binary outcomes. Finally, we measure the resistance against two well-known statistical distinguishers, namely, differential-linear and boomerang distinguishers and show that 4-decorrelation degree protects against these attacks.