Survey of Cryptanalysis on Hash Functions
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												  Cryptographic Hash Functions and Message Authentication CodeCryptographic Hash Functions and Message Authentication Code Thierry Sans Cryptographic hashing H m1 m2 x1 m3 x2 H(m) = x is a hash function if • H is one-way function • m is a message of any length • x is a message digest of a fixed length ➡ H is a lossy compression function necessarily there exists x, m1 and m2 | H(m1) = H(m2) = x Computational complexity m H x • Given H and m, computing x is easy (polynomial or linear) • Given H and x, computing m is hard (exponential) ➡ H is not invertible Preimage resistance and collision resistance m H x PR - Preimage Resistance (a.k.a One Way) ➡ given H and x, hard to find m e.g. password storage 2PR - Second Preimage Resistance (a.k.a Weak Collision Resistance) ➡ given H, m and x, hard to find m’ such that H(m) = H(m’) = x e.g. virus identification CR - Collision Resistance (a.k.a Strong Collision Resistance) ➡ given H, hard to find m and m’ such that H(m) = H(m’) = x e.g. digital signatures CR → 2PR and CR → PR Hash functions in practice IV n’ bits n bits n’ bits Common hash functions m H x Name SHA-2 SHA-3 MD5 SHA-1 Variant SHA-224 SHA-256 SHA-384 SHA-512 SHA3-224 SHA3-256 SHA3-384 SHA3-512 Year 1992 1993 2001 2012 Guido Bertoni, Joan Daemen, Michaël Designer Rivest NSA NSA Peeters, and Gilles Van Assche Input 512 512 512 512 1024 1024 1152 1088 832 576 n bits Output 128 160 224 256 384 512 224 256 384 512 n’ bits Speed 6.8 11.4 15.8 17.7 12.5 cycle/byte Considered Broken yes yes no no How to hash long messages ? Merkle–Damgård construction m split m in blocks of n bits and add padding p n bits m1
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												  Increasing Cryptography Security Using Hash-Based MessageISSN (Print) : 2319-8613 ISSN (Online) : 0975-4024 Seyyed Mehdi Mousavi et al. / International Journal of Engineering and Technology (IJET) Increasing Cryptography Security using Hash-based Message Authentication Code Seyyed Mehdi Mousavi*1, Dr.Mohammad Hossein Shakour 2 1-Department of Computer Engineering, Shiraz Branch, Islamic AzadUniversity, Shiraz, Iran . Email : [email protected] 2-Assistant Professor, Department of Computer Engineering, Shiraz Branch, Islamic Azad University ,Shiraz ,Iran Abstract Nowadays, with the fast growth of information and communication technologies (ICTs) and the vulnerabilities threatening human societies, protecting and maintaining information is critical, and much attention should be paid to it. In the cryptography using hash-based message authentication code (HMAC), one can ensure the authenticity of a message. Using a cryptography key and a hash function, HMAC creates the message authentication code and adds it to the end of the message supposed to be sent to the recipient. If the recipient of the message code is the same as message authentication code, the packet will be confirmed. The study introduced a complementary function called X-HMAC by examining HMAC structure. This function uses two cryptography keys derived from the dedicated cryptography key of each packet and the dedicated cryptography key of each packet derived from the main X-HMAC cryptography key. In two phases, it hashes message bits and HMAC using bit Swapp and rotation to left. The results show that X-HMAC function can be a strong barrier against data identification and HMAC against the attacker, so that it cannot attack it easily by identifying the blocks and using HMAC weakness.
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												  CHAPTER 9: ANALYSIS of the SHA and SHA-L HASH ALGORITHMSCHAPTER 9: ANALYSIS OF THE SHA AND SHA-l HASH ALGORITHMS In this chapter the SHA and SHA-l hash functions are analysed. First the SHA and SHA-l hash functions are described along with the relevant notation used in this chapter. This is followed by describing the algebraic structure of the message expansion algorithm used by SHA. We then proceed to exploit this algebraic structure of the message expansion algorithm by applying the generalised analysis framework presented in Chapter 8. We show that it is possible to construct collisions for each of the individual rounds of the SHA hash function. The source code that implements the attack is attached in Appendix F. The same techniques are then applied to SHA-l. SHA is an acronym for Secure Hash Algorithm. SHA and SHA-l are dedicated hash func- tions based on the iterative Damgard-Merkle construction [22] [23]. Both of the round func- tions utilised by these algorithms take a 512 bit input (or a multiple of 512) and produce a 160 bit hash value. SHA was first published as Federal Information Processing Standard 180 (FIPS 180). The secure hash algorithm is based on principles similar to those used in the design of MD4 [10]. SHA-l is a technical revision of SHA and was published as FIPS 180-1 [13]. It is believed that this revision makes SHA-l more secure than SHA [13] [50] [59]. SHA and SHA-l differ from MD4 with regard to the number of rounds used, the size of the hash result and the definition of a single step.
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												  Fast Hashing and Stream Encryption with PanamaFast Hashing and Stream Encryption with Panama Joan Daemen1 and Craig Clapp2 1 Banksys, Haachtesteenweg 1442, B-1130 Brussel, Belgium [email protected] 2 PictureTel Corporation, 100 Minuteman Rd., Andover, MA 01810, USA [email protected] Abstract. We present a cryptographic module that can be used both as a cryptographic hash function and as a stream cipher. High performance is achieved through a combination of low work-factor and a high degree of parallelism. Throughputs of 5.1 bits/cycle for the hashing mode and 4.7 bits/cycle for the stream cipher mode are demonstrated on a com- mercially available VLIW micro-processor. 1 Introduction Panama is a cryptographic module that can be used both as a cryptographic hash function and a stream cipher. It is designed to be very efficient in software implementations on 32-bit architectures. Its basic operations are on 32-bit words. The hashing state is updated by a parallel nonlinear transformation, the buffer operates as a linear feedback shift register, similar to that applied in the compression function of SHA [6]. Panama is largely based on the StepRightUp stream/hash module that was described in [4]. Panama has a low per-byte work factor while still claiming very high security. The price paid for this is a relatively high fixed computational overhead for every execution of the hash function. This makes the Panama hash function less suited for the hashing of messages shorter than the equivalent of a typewritten page. For the stream cipher it results in a relatively long initialization procedure. Hence, in applications where speed is critical, too frequent resynchronization should be avoided.
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												  Downloaded on 2017-02-12T13:16:07Z HARDWARE DESIGNOF CRYPTOGRAPHIC ACCELERATORSTitle 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
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												  CS-466: Applied Cryptography Adam O'neillHash functions CS-466: Applied Cryptography Adam O’Neill Adapted from http://cseweb.ucsd.edu/~mihir/cse107/ Setting the Stage • Today we will study a second lower-level primitive, hash functions. Setting the Stage • Today we will study a second lower-level primitive, hash functions. • Hash functions like MD5, SHA1, SHA256 are used pervasively. Setting the Stage • Today we will study a second lower-level primitive, hash functions. • Hash functions like MD5, SHA1, SHA256 are used pervasively. • Primary purpose is data compression, but they have many other uses and are often treated like a “magic wand” in protocol design. Collision resistance (CR) Collision Resistance n Definition: A collision for a function h : D 0, 1 is a pair x1, x2 D → { } ∈ of points such that h(x1)=h(x2)butx1 = x2. ̸ If D > 2n then the pigeonhole principle tells us that there must exist a | | collision for h. Mihir Bellare UCSD 3 Collision resistance (CR) Collision resistanceCollision Resistance (CR) n Definition: A collision for a function h : D 0, 1 n is a pair x1, x2 D Definition: A collision for a function h : D → {0, 1} is a pair x1, x2 ∈ D of points such that h(x1)=h(x2)butx1 = →x2.{ } ∈ of points such that h(x1)=h(x2)butx1 ≠ x2. ̸ If D > 2n then the pigeonhole principle tells us that there must exist a If |D| > 2n then the pigeonhole principle tells us that there must exist a collision| | for h. collision for h. We want that even though collisions exist, they are hard to find.
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												  MD5 Collisions the Effect on Computer Forensics April 2006Paper MD5 Collisions The Effect on Computer Forensics April 2006 ACCESS DATA , ON YOUR RADAR MD5 Collisions: The Impact on Computer Forensics Hash functions are one of the basic building blocks of modern cryptography. They are used for everything from password verification to digital signatures. A hash function has three fundamental properties: • It must be able to easily convert digital information (i.e. a message) into a fixed length hash value. • It must be computationally impossible to derive any information about the input message from just the hash. • It must be computationally impossible to find two files to have the same hash. A collision is when you find two files to have the same hash. The research published by Wang, Feng, Lai and Yu demonstrated that MD5 fails this third requirement since they were able to generate two different messages that have the same hash. In computer forensics hash functions are important because they provide a means of identifying and classifying electronic evidence. Because hash functions play a critical role in evidence authentication, a judge and jury must be able trust the hash values to uniquely identify electronic evidence. A hash function is unreliable when you can find any two messages that have the same hash. Birthday Paradox The easiest method explaining a hash collision is through what is frequently referred to as the Birthday Paradox. How many people one the street would you have to ask before there is greater than 50% probability that one of those people will share your birthday (same day not the same year)? The answer is 183 (i.e.
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												  Linearization Framework for Collision Attacks: Application to Cubehash and MD6Linearization Framework for Collision Attacks: Application to CubeHash and MD6 Eric Brier1, Shahram Khazaei2, Willi Meier3, and Thomas Peyrin1 1 Ingenico, France 2 EPFL, Switzerland 3 FHNW, Switzerland Abstract. In this paper, an improved differential cryptanalysis framework for finding collisions in hash functions is provided. Its principle is based on lineariza- tion of compression functions in order to find low weight differential characteris- tics as initiated by Chabaud and Joux. This is formalized and refined however in several ways: for the problem of finding a conforming message pair whose differ- ential trail follows a linear trail, a condition function is introduced so that finding a collision is equivalent to finding a preimage of the zero vector under the con- dition function. Then, the dependency table concept shows how much influence every input bit of the condition function has on each output bit. Careful analysis of the dependency table reveals degrees of freedom that can be exploited in ac- celerated preimage reconstruction under the condition function. These concepts are applied to an in-depth collision analysis of reduced-round versions of the two SHA-3 candidates CubeHash and MD6, and are demonstrated to give by far the best currently known collision attacks on these SHA-3 candidates. Keywords: Hash functions, collisions, differential attack, SHA-3, CubeHash and MD6. 1 Introduction Hash functions are important cryptographic primitives that find applications in many areas including digital signatures and commitment schemes. A hash function is a trans- formation which maps a variable-length input to a fixed-size output, called message digest. One expects a hash function to possess several security properties, one of which is collision resistance.
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												  Permutation-Based Encryption, Authentication and Authenticated EncryptionPermutation-based encryption, authentication and authenticated encryption Permutation-based encryption, authentication and authenticated encryption Joan Daemen1 Joint work with Guido Bertoni1, Michaël Peeters2 and Gilles Van Assche1 1STMicroelectronics 2NXP Semiconductors DIAC 2012, Stockholm, July 6 . Permutation-based encryption, authentication and authenticated encryption Modern-day cryptography is block-cipher centric Modern-day cryptography is block-cipher centric (Standard) hash functions make use of block ciphers SHA-1, SHA-256, SHA-512, Whirlpool, RIPEMD-160, … So HMAC, MGF1, etc. are in practice also block-cipher based Block encryption: ECB, CBC, … Stream encryption: synchronous: counter mode, OFB, … self-synchronizing: CFB MAC computation: CBC-MAC, C-MAC, … Authenticated encryption: OCB, GCM, CCM … . Permutation-based encryption, authentication and authenticated encryption Modern-day cryptography is block-cipher centric Structure of a block cipher . Permutation-based encryption, authentication and authenticated encryption Modern-day cryptography is block-cipher centric Structure of a block cipher (inverse operation) . Permutation-based encryption, authentication and authenticated encryption Modern-day cryptography is block-cipher centric When is the inverse block cipher needed? Indicated in red: Hashing and its modes HMAC, MGF1, … Block encryption: ECB, CBC, … Stream encryption: synchronous: counter mode, OFB, … self-synchronizing: CFB MAC computation: CBC-MAC, C-MAC, … Authenticated encryption: OCB, GCM, CCM … So a block cipher
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												  Indifferentiable Authenticated EncryptionIndifferentiable Authenticated Encryption Manuel Barbosa1 and Pooya Farshim2;3 1 INESC TEC and FC University of Porto, Porto, Portugal [email protected] 2 DI/ENS, CNRS, PSL University, Paris, France 3 Inria, Paris, France [email protected] Abstract. We study Authenticated Encryption with Associated Data (AEAD) from the viewpoint of composition in arbitrary (single-stage) environments. We use the indifferentiability framework to formalize the intuition that a \good" AEAD scheme should have random ciphertexts subject to decryptability. Within this framework, we can then apply the indifferentiability composition theorem to show that such schemes offer extra safeguards wherever the relevant security properties are not known, or cannot be predicted in advance, as in general-purpose crypto libraries and standards. We show, on the negative side, that generic composition (in many of its configurations) and well-known classical and recent schemes fail to achieve indifferentiability. On the positive side, we give a provably indifferentiable Feistel-based construction, which reduces the round complexity from at least 6, needed for blockciphers, to only 3 for encryption. This result is not too far off the theoretical optimum as we give a lower bound that rules out the indifferentiability of any construction with less than 2 rounds. Keywords. Authenticated encryption, indifferentiability, composition, Feistel, lower bound, CAESAR. 1 Introduction Authenticated Encryption with Associated Data (AEAD) [54,10] is a funda- mental building block in cryptographic protocols, notably those enabling secure communication over untrusted networks. The syntax, security, and constructions of AEAD have been studied in numerous works. Recent, ongoing standardization processes, such as the CAESAR competition [14] and TLS 1.3, have revived interest in this direction.
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												  Nasha, Cubehash, SWIFFTX, Skein6.857 Homework Problem Set 1 # 1-3 - Open Source Security Model Aleksandar Zlateski Ranko Sredojevic Sarah Cheng March 12, 2009 NaSHA NaSHA was a fairly well-documented submission. Too bad that a collision has already been found. Here are the security properties that they have addressed in their submission: • Pseudorandomness. The paper does not address pseudorandomness directly, though they did show proof of a fairly fast avalanching effect (page 19). Not quite sure if that is related to pseudorandomness, however. • First and second preimage resistance. On page 17, it references a separate document provided in the submission. The proofs are given in the file Part2B4.pdf. The proof that its main transfunction is one-way can be found on pages 5-6. • Collision resistance. Same as previous; noted on page 17 of the main document, proof given in Part2B4.pdf. • Resistance to linear and differential attacks. Not referenced in the main paper, but Part2B5.pdf attempts to provide some justification for this. • Resistance to length extension attacks. Proof of this is given on pages 4-5 of Part2B4.pdf. We should also note that a collision in the n = 384 and n = 512 versions of the hash function. It was claimed that the best attack would be a birthday attack, whereas a collision was able to be produced within 2128 steps. CubeHash According to the author, CubeHash is a very simple cryptographic hash function. The submission does not include almost any of the security details, and for the ones that are included the analysis is very poor. But, for the sake of making this PSet more interesting we will cite some of the authors comments on different security issues.
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												  Características Y Aplicaciones De Las Funciones Resumen Criptográficas En La Gestión De ContraseñasCaracterísticas 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