Grøstl – a SHA-3 Candidate ∗
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Improved Cryptanalysis of the Reduced Grøstl Compression Function, ECHO Permutation and AES Block Cipher
Improved Cryptanalysis of the Reduced Grøstl Compression Function, ECHO Permutation and AES Block Cipher Florian Mendel1, Thomas Peyrin2, Christian Rechberger1, and Martin Schl¨affer1 1 IAIK, Graz University of Technology, Austria 2 Ingenico, France [email protected],[email protected] Abstract. In this paper, we propose two new ways to mount attacks on the SHA-3 candidates Grøstl, and ECHO, and apply these attacks also to the AES. Our results improve upon and extend the rebound attack. Using the new techniques, we are able to extend the number of rounds in which available degrees of freedom can be used. As a result, we present the first attack on 7 rounds for the Grøstl-256 output transformation3 and improve the semi-free-start collision attack on 6 rounds. Further, we present an improved known-key distinguisher for 7 rounds of the AES block cipher and the internal permutation used in ECHO. Keywords: hash function, block cipher, cryptanalysis, semi-free-start collision, known-key distinguisher 1 Introduction Recently, a new wave of hash function proposals appeared, following a call for submissions to the SHA-3 contest organized by NIST [26]. In order to analyze these proposals, the toolbox which is at the cryptanalysts' disposal needs to be extended. Meet-in-the-middle and differential attacks are commonly used. A recent extension of differential cryptanalysis to hash functions is the rebound attack [22] originally applied to reduced (7.5 rounds) Whirlpool (standardized since 2000 by ISO/IEC 10118-3:2004) and a reduced version (6 rounds) of the SHA-3 candidate Grøstl-256 [14], which both have 10 rounds in total. -
Argon and Argon2
Argon and Argon2 Designers: Alex Biryukov, Daniel Dinu, and Dmitry Khovratovich University of Luxembourg, Luxembourg [email protected], [email protected], [email protected] https://www.cryptolux.org/index.php/Password https://github.com/khovratovich/Argon https://github.com/khovratovich/Argon2 Version 1.1 of Argon Version 1.0 of Argon2 31th January, 2015 Contents 1 Introduction 3 2 Argon 5 2.1 Specification . 5 2.1.1 Input . 5 2.1.2 SubGroups . 6 2.1.3 ShuffleSlices . 7 2.2 Recommended parameters . 8 2.3 Security claims . 8 2.4 Features . 9 2.4.1 Main features . 9 2.4.2 Server relief . 10 2.4.3 Client-independent update . 10 2.4.4 Possible future extensions . 10 2.5 Security analysis . 10 2.5.1 Avalanche properties . 10 2.5.2 Invariants . 11 2.5.3 Collision and preimage attacks . 11 2.5.4 Tradeoff attacks . 11 2.6 Design rationale . 14 2.6.1 SubGroups . 14 2.6.2 ShuffleSlices . 16 2.6.3 Permutation ...................................... 16 2.6.4 No weakness,F no patents . 16 2.7 Tweaks . 17 2.8 Efficiency analysis . 17 2.8.1 Modern x86/x64 architecture . 17 2.8.2 Older CPU . 17 2.8.3 Other architectures . 17 3 Argon2 19 3.1 Specification . 19 3.1.1 Inputs . 19 3.1.2 Operation . 20 3.1.3 Indexing . 20 3.1.4 Compression function G ................................. 21 3.2 Features . 22 3.2.1 Available features . 22 3.2.2 Server relief . 23 3.2.3 Client-independent update . -
CASH: a Cost Asymmetric Secure Hash Algorithm for Optimal Password Protection
CASH: A Cost Asymmetric Secure Hash Algorithm for Optimal Password Protection Jeremiah Blocki Anupam Datta Microsoft Research Carnegie Mellon University August 23, 2018 Abstract An adversary who has obtained the cryptographic hash of a user's password can mount an offline attack to crack the password by comparing this hash value with the cryptographic hashes of likely password guesses. This offline attacker is limited only by the resources he is willing to invest to crack the password. Key-stretching techniques like hash iteration and memory hard functions have been proposed to mitigate the threat of offline attacks by making each password guess more expensive for the adversary to verify. However, these techniques also increase costs for a legitimate authentication server. We introduce a novel Stackelberg game model which captures the essential elements of this interaction between a defender and an offline attacker. In the game the defender first commits to a key-stretching mechanism, and the offline attacker responds in a manner that optimizes his utility (expected reward minus expected guessing costs). We then introduce Cost Asymmetric Secure Hash (CASH), a randomized key-stretching mechanism that minimizes the fraction of passwords that would be cracked by a rational offline attacker without increasing amortized authentication costs for the legitimate authentication server. CASH is motivated by the observation that the legitimate authentication server will typically run the authentication procedure to verify a correct password, while an offline adversary will typically use incorrect password guesses. By using randomization we can ensure that the amortized cost of running CASH to verify a correct password guess is significantly smaller than the cost of rejecting an incorrect password. -
Grøstl – a SHA-3 Candidate∗
Grøstl – a SHA-3 candidate∗ http://www.groestl.info Praveen Gauravaram1, Lars R. Knudsen1, Krystian Matusiewicz1, Florian Mendel2, Christian Rechberger2, Martin Schl¨affer2, and Søren S. Thomsen1 1Department of Mathematics, Technical University of Denmark, Matematiktorvet 303S, DK-2800 Kgs. Lyngby, Denmark 2Institute for Applied Information Processing and Communications (IAIK), Graz University of Technology, Inffeldgasse 16a, A-8010 Graz, Austria January 15, 2009 Summary Grøstl is a SHA-3 candidate proposal. Grøstl is an iterated hash function with a compression function built from two fixed, large, distinct permutations. The design of Grøstl is transparent and based on principles very different from those used in the SHA-family. The two permutations are constructed using the wide trail design strategy, which makes it possible to give strong statements about the resistance of Grøstl against large classes of cryptanalytic attacks. Moreover, if these permutations are assumed to be ideal, there is a proof for the security of the hash function. Grøstl is a byte-oriented SP-network which borrows components from the AES. The S-box used is identical to the one used in the block cipher AES and the diffusion layers are constructed in a similar manner to those of the AES. As a consequence there is a very strong confusion and diffusion in Grøstl. Grøstl is a so-called wide-pipe construction where the size of the internal state is signifi- cantly larger than the size of the output. This has the effect that all known, generic attacks on the hash function are made much more difficult. Grøstl has good performance on a wide range of platforms, and counter-measures against side-channel attacks are well-understood from similar work on the AES. -
Downloaded on 2017-02-12T13:16:07Z HARDWARE DESIGNOF CRYPTOGRAPHIC ACCELERATORS
Title Hardware design of cryptographic accelerators Author(s) Baldwin, Brian John Publication date 2013 Original citation Baldwin, B.J., 2013. Hardware design of cryptographic accelerators. PhD Thesis, University College Cork. Type of publication Doctoral thesis Rights © 2013. Brian J. Baldwin http://creativecommons.org/licenses/by-nc-nd/3.0/ Embargo information No embargo required Item downloaded http://hdl.handle.net/10468/1112 from Downloaded on 2017-02-12T13:16:07Z HARDWARE DESIGN OF CRYPTOGRAPHIC ACCELERATORS by BRIAN BALDWIN Thesis submitted for the degree of PHD from the Department of Electrical Engineering National University of Ireland University College, Cork, Ireland May 7, 2013 Supervisor: Dr. William P. Marnane “What I cannot create, I do not understand” - Richard Feynman; on his blackboard at time of death in 1988. Contents 1 Introduction 1 1.1 Motivation...................................... 1 1.2 ThesisAims..................................... 3 1.3 ThesisOutline................................... 6 2 Background 9 2.1 Introduction.................................... 9 2.2 IntroductiontoCryptography. ...... 10 2.3 MathematicalBackground . ... 13 2.3.1 Groups ................................... 13 2.3.2 Rings .................................... 14 2.3.3 Fields.................................... 15 2.3.4 FiniteFields ................................ 16 2.4 EllipticCurves .................................. 17 2.4.1 TheGroupLaw............................... 18 2.4.2 EllipticCurvesoverPrimeFields . .... 19 2.5 CryptographicPrimitives&Protocols -
Security Analysis for MQTT in Internet of Things
DEGREE PROJECT IN COMPUTER SCIENCE AND ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 Security analysis for MQTT in Internet of Things DIEGO SALAS UGALDE KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Security analysis for MQTT in Internet of Things DIEGO SALAS UGALDE Master in Network Services and Systems Date: November 22, 2018 Supervisor: Johan Gustafsson (Zyax AB) Examiner: Panos Papadimitratos (KTH) Swedish title: Säkerhet analys för MQTT i IoT School of Electrical Engineering and Computer Science iii Abstract Internet of Things, i.e. IoT, has become a very trending topic in re- search and has been investigated in recent years. There can be several different scenarios and implementations where IoT is involved. Each of them has its requirements. In these type IoT networks new com- munication protocols which are meant to be lightweight are included such as MQTT. In this thesis there are two key aspects which are under study: secu- rity and achieving a lightweight communication. We want to propose a secure and lightweight solution in an IoT scenario using MQTT as the communication protocol. We perform different experiments with different implementations over MQTT which we evaluate, compare and analyze. The results obtained help to answer our research questions and show that the proposed solution fulfills the goals we proposed in the beginning of this work. iv Sammanfattning "Internet of Things", dvs IoT, har blivit ett mycket trenderande ämne inom forskning och har undersökts de senaste åren. Det kan finnas flera olika scenarier och implementeringar där IoT är involverad. Var och en av dem har sina krav. -
Características Y Aplicaciones De Las Funciones Resumen Criptográficas En La Gestión De Contraseñas
Características y aplicaciones de las funciones resumen criptográficas en la gestión de contraseñas Alicia Lorena Andrade Bazurto Instituto Universitario de Investigación en Informática Escuela Politécnica Superior Características y aplicaciones de las funciones resumen criptográficas en la gestión de contraseñas ALICIA LORENA ANDRADE BAZURTO Tesis presentada para aspirar al grado de DOCTORA POR LA UNIVERSIDAD DE ALICANTE DOCTORADO EN INFORMÁTICA Dirigida por: Dr. Rafael I. Álvarez Sánchez Alicante, julio 2019 Índice Índice de tablas .................................................................................................................. vii Índice de figuras ................................................................................................................. ix Agradecimiento .................................................................................................................. xi Resumen .......................................................................................................................... xiii Resum ............................................................................................................................... xv Abstract ........................................................................................................................... xvii 1 Introducción .................................................................................................................. 1 1.1 Objetivos ...............................................................................................................4 -
Rifflescrambler – a Memory-Hard Password Storing Function ⋆
RiffleScrambler – a memory-hard password storing function ? Karol Gotfryd1, Paweł Lorek2, and Filip Zagórski1;3 1 Wrocław University of Science and Technology Faculty of Fundamental Problems of Technology Department of Computer Science 2 Wrocław University Faculty of Mathematics and Computer Science Mathematical Institute 3 Oktawave Abstract. We introduce RiffleScrambler: a new family of directed acyclic graphs and a corresponding data-independent memory hard function with password independent memory access. We prove its memory hard- ness in the random oracle model. RiffleScrambler is similar to Catena – updates of hashes are determined by a graph (bit-reversal or double-butterfly graph in Catena). The ad- vantage of the RiffleScrambler over Catena is that the underlying graphs are not predefined but are generated per salt, as in Balloon Hashing. Such an approach leads to higher immunity against practical parallel at- tacks. RiffleScrambler offers better efficiency than Balloon Hashing since the in-degree of the underlying graph is equal to 3 (and is much smaller than in Ballon Hashing). At the same time, because the underlying graph is an instance of a Superconcentrator, our construction achieves the same time-memory trade-offs. Keywords: Memory hardness, password storing, Markov chains, mixing time. 1 Introduction In early days of computers’ era passwords were stored in plaintext in the form of pairs (user; password). Back in 1960s it was observed, that it is not secure. It took around a decade to incorporate a more secure way of storing users’ passwords – via a DES-based function crypt, as (user; fk(password)) for a se- cret key k or as (user; f(password)) for a one-way function. -
Hash Functions
11 Hash Functions Suppose you share a huge le with a friend, but you are not sure whether you both have the same version of the le. You could send your version of the le to your friend and they could compare to their version. Is there any way to check that involves less communication than this? Let’s call your version of the le x (a string) and your friend’s version y. The goal is to determine whether x = y. A natural approach is to agree on some deterministic function H, compute H¹xº, and send it to your friend. Your friend can compute H¹yº and, since H is deterministic, compare the result to your H¹xº. In order for this method to be fool-proof, we need H to have the property that dierent inputs always map to dierent outputs — in other words, H must be injective (1-to-1). Unfortunately, if H is injective and H : f0; 1gin ! f0; 1gout is injective, then out > in. This means that sending H¹xº is no better/shorter than sending x itself! Let us call a pair ¹x;yº a collision in H if x , y and H¹xº = H¹yº. An injective function has no collisions. One common theme in cryptography is that you don’t always need something to be impossible; it’s often enough for that thing to be just highly unlikely. Instead of saying that H should have no collisions, what if we just say that collisions should be hard (for polynomial-time algorithms) to nd? An H with this property will probably be good enough for anything we care about. -
Cs 255 (Introduction to Cryptography)
CS 255 (INTRODUCTION TO CRYPTOGRAPHY) DAVID WU Abstract. Notes taken in Professor Boneh’s Introduction to Cryptography course (CS 255) in Winter, 2012. There may be errors! Be warned! Contents 1. 1/11: Introduction and Stream Ciphers 2 1.1. Introduction 2 1.2. History of Cryptography 3 1.3. Stream Ciphers 4 1.4. Pseudorandom Generators (PRGs) 5 1.5. Attacks on Stream Ciphers and OTP 6 1.6. Stream Ciphers in Practice 6 2. 1/18: PRGs and Semantic Security 7 2.1. Secure PRGs 7 2.2. Semantic Security 8 2.3. Generating Random Bits in Practice 9 2.4. Block Ciphers 9 3. 1/23: Block Ciphers 9 3.1. Pseudorandom Functions (PRF) 9 3.2. Data Encryption Standard (DES) 10 3.3. Advanced Encryption Standard (AES) 12 3.4. Exhaustive Search Attacks 12 3.5. More Attacks on Block Ciphers 13 3.6. Block Cipher Modes of Operation 13 4. 1/25: Message Integrity 15 4.1. Message Integrity 15 5. 1/27: Proofs in Cryptography 17 5.1. Time/Space Tradeoff 17 5.2. Proofs in Cryptography 17 6. 1/30: MAC Functions 18 6.1. Message Integrity 18 6.2. MAC Padding 18 6.3. Parallel MAC (PMAC) 19 6.4. One-time MAC 20 6.5. Collision Resistance 21 7. 2/1: Collision Resistance 21 7.1. Collision Resistant Hash Functions 21 7.2. Construction of Collision Resistant Hash Functions 22 7.3. Provably Secure Compression Functions 23 8. 2/6: HMAC And Timing Attacks 23 8.1. HMAC 23 8.2. -
Rebound Attack
Rebound Attack Florian Mendel Institute for Applied Information Processing and Communications (IAIK) Graz University of Technology Inffeldgasse 16a, A-8010 Graz, Austria http://www.iaik.tugraz.at/ Outline 1 Motivation 2 Whirlpool Hash Function 3 Application of the Rebound Attack 4 Summary SHA-3 competition Abacus ECHO Lesamnta SHAMATA ARIRANG ECOH Luffa SHAvite-3 AURORA Edon-R LUX SIMD BLAKE EnRUPT Maraca Skein Blender ESSENCE MCSSHA-3 Spectral Hash Blue Midnight Wish FSB MD6 StreamHash Boole Fugue MeshHash SWIFFTX Cheetah Grøstl NaSHA Tangle CHI Hamsi NKS2D TIB3 CRUNCH HASH 2X Ponic Twister CubeHash JH SANDstorm Vortex DCH Keccak Sarmal WaMM Dynamic SHA Khichidi-1 Sgàil Waterfall Dynamic SHA2 LANE Shabal ZK-Crypt SHA-3 competition Abacus ECHO Lesamnta SHAMATA ARIRANG ECOH Luffa SHAvite-3 AURORA Edon-R LUX SIMD BLAKE EnRUPT Maraca Skein Blender ESSENCE MCSSHA-3 Spectral Hash Blue Midnight Wish FSB MD6 StreamHash Boole Fugue MeshHash SWIFFTX Cheetah Grøstl NaSHA Tangle CHI Hamsi NKS2D TIB3 CRUNCH HASH 2X Ponic Twister CubeHash JH SANDstorm Vortex DCH Keccak Sarmal WaMM Dynamic SHA Khichidi-1 Sgàil Waterfall Dynamic SHA2 LANE Shabal ZK-Crypt The Rebound Attack [MRST09] Tool in the differential cryptanalysis of hash functions Invented during the design of Grøstl AES-based designs allow a simple application of the idea Has been applied to a wide range of hash functions Echo, Grøstl, JH, Lane, Luffa, Maelstrom, Skein, Twister, Whirlpool, ... The Rebound Attack Ebw Ein Efw inbound outbound outbound Applies to block cipher and permutation based -
A (Second) Preimage Attack on the GOST Hash Function
A (Second) Preimage Attack on the GOST Hash Function Florian Mendel, Norbert Pramstaller, and Christian Rechberger Institute for Applied Information Processing and Communications (IAIK), Graz University of Technology, Inffeldgasse 16a, A-8010 Graz, Austria [email protected] Abstract. In this article, we analyze the security of the GOST hash function with respect to (second) preimage resistance. The GOST hash function, defined in the Russian standard GOST-R 34.11-94, is an iter- ated hash function producing a 256-bit hash value. As opposed to most commonly used hash functions such as MD5 and SHA-1, the GOST hash function defines, in addition to the common iterated structure, a check- sum computed over all input message blocks. This checksum is then part of the final hash value computation. For this hash function, we show how to construct second preimages and preimages with a complexity of about 2225 compression function evaluations and a memory requirement of about 238 bytes. First, we show how to construct a pseudo-preimage for the compression function of GOST based on its structural properties. Second, this pseudo- preimage attack on the compression function is extended to a (second) preimage attack on the GOST hash function. The extension is possible by combining a multicollision attack and a meet-in-the-middle attack on the checksum. Keywords: cryptanalysis, hash functions, preimage attack 1 Introduction A cryptographic hash function H maps a message M of arbitrary length to a fixed-length hash value h. A cryptographic hash function has to fulfill the following security requirements: – Collision resistance: it is practically infeasible to find two messages M and M ∗, with M ∗ 6= M, such that H(M) = H(M ∗).