Attacks on Cryptographic Hash Functions and Advances Arvind K
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Cryptographic Hash Functions and Message Authentication Code
Cryptographic 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 -
RESOURCE-EFFICIENT CRYPTOGRAPHY for UBIQUITOUS COMPUTING Lightweight Cryptographic Primitives from a Hardware & Software Perspective
RESOURCE-EFFICIENT CRYPTOGRAPHY FOR UBIQUITOUS COMPUTING Lightweight Cryptographic Primitives from a Hardware & Software Perspective DISSERTATION for the degree of Doktor-Ingenieur of the Faculty of Electrical Engineering and Information Technology at the Ruhr University Bochum, Germany by Elif Bilge Kavun Bochum, December 2014 Copyright © 2014 by Elif Bilge Kavun. All rights reserved. Printed in Germany. Anneme ve babama... Elif Bilge Kavun Place of birth: Izmir,˙ Turkey Author’s contact information: [email protected] www.emsec.rub.de/chair/ staff/elif bilge kavun Thesis Advisor: Prof. Dr.-Ing. Christof Paar Ruhr-Universit¨atBochum, Germany Secondary Referee: Prof. Christian Rechberger Danmarks Tekniske Universitet, Denmark Thesis submitted: December 19, 2014 Thesis defense: February 6, 2015 v Abstract Technological advancements in the semiconductor industry over the last few decades made the mass production of very small-scale computing devices possible. Thanks to the compactness and mobility of these devices, they can be deployed “pervasively”, in other words, everywhere and anywhere – such as in smart homes, logistics, e-commerce, and medical technology. Em- bedding the small-scale devices into everyday objects pervasively also indicates the realization of the foreseen “ubiquitous computing” concept. However, ubiquitous computing and the mass deployment of the pervasive devices in turn brought some concerns – especially, security and privacy. Many people criticize the security and privacy management in the ubiquitous context. It is even believed that an inadequate level of security may be the greatest barrier to the long-term success of ubiquitous computing. For ubiquitous computing, the adversary model and the se- curity level is not the same as in traditional applications due to limited resources in pervasive devices – area, power, and energy are actually harsh constraints for such devices. -
Fair and Comprehensive Methodology for Comparing Hardware Performance of Fourteen Round Two SHA-3 Candidates Using Fpgas
Fair and Comprehensive Methodology for Comparing Hardware Performance of Fourteen Round Two SHA-3 Candidates Using FPGAs Kris Gaj, Ekawat Homsirikamol, and Marcin Rogawski ECE Department, George Mason University, Fairfax, VA 22030, U.S.A. {kgaj,ehomsiri,mrogawsk}@gmu.edu http://cryptography.gmu.edu Abstract. Performance in hardware has been demonstrated to be an important factor in the evaluation of candidates for cryptographic stan- dards. Up to now, no consensus exists on how such an evaluation should be performed in order to make it fair, transparent, practical, and ac- ceptable for the majority of the cryptographic community. In this pa- per, we formulate a proposal for a fair and comprehensive evaluation methodology, and apply it to the comparison of hardware performance of 14 Round 2 SHA-3 candidates. The most important aspects of our methodology include the definition of clear performance metrics, the de- velopment of a uniform and practical interface, generation of multiple sets of results for several representative FPGA families from two major vendors, and the application of a simple procedure to convert multiple sets of results into a single ranking. Keywords: benchmarking, hash functions, SHA-3, FPGA. 1 Introduction and Motivation Starting from the Advanced Encryption Standard (AES) contest organized by NIST in 1997-2000 [1], open contests have become a method of choice for select- ing cryptographic standards in the U.S. and over the world. The AES contest in the U.S. was followed by the NESSIE competition in Europe [2], CRYPTREC in Japan, and eSTREAM in Europe [3]. Four typical criteria taken into account in the evaluation of candidates are: security, performance in software, performance in hardware, and flexibility. -
Hello, and Welcome to This Presentation of the STM32MP1 Hash Processor
Hello, and welcome to this presentation of the STM32MP1 hash processor. 1 Hash peripheral is in charge of efficient computing of message digest. A digest is a fixed-length value computed from an input message. A digest is unique - it is virtually impossible to find two messages with the same digest. The original message cannot be retrieved from its digest. Hash digests and Hash-based Message Authentication Code (HMAC) are widely used in communication since they are used to guarantee the integrity and authentication of a transfer. 2 HASH1 is a secure peripheral (under ETZPC control through ETZPC_DECPROT0 bit 8) while HASH2 is a non secure peripheral. HASH1 instance can be allocated to: • The Arm® Cortex®-A7 secure core to be controlled in OP-TEE by the HASH OP-TEE driver or • The Arm® Cortex® -A7 non-secure core for using in Linux® with Linux Crypto framework HASH2 instance can be allocated to the Arm® Cortex®-M4 core to be controlled in the STM32Cube MPU Package using the STM32Cube HASH driver. HASH1 instance is used as boot device to support binary authentication. 3 The hash processor supports widely used hash functions including Message Digest 5 (MD5), Secure Hash Algorithm SHA-1 and the more recent SHA-2 with its 224- and 256-bit digest length versions. A hash can also be generated with a secrete-key to produce a message authentication code (MAC). The processor supports bit, byte and half-word swapping. It supports also automatic padding of input data for block alignment. The processor can be used in conjunction with the DMA for automatic processor feeding. -
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 -
Sharing Resources Between AES and the SHA-3 Second Round
Sharing Resources Between AES and the SHA-3 Second Round Candidates Fugue and Grøstl Kimmo Järvinen Department of Information and Computer Science Aalto University, School of Science and Technology Espoo, Finland AES-inspired SHA-3 Candidates I Design strongly influenced by AES: Share the structure and have significant similarity in transformations, or even use AES as a subroutine I ECHO, Fugue, Grøstl, and SHAvite-3 I Benadjila et al. (ASIACRYPT 2009) studied useability of Intel’s AES instructions for AES-inspired candidates Conclusion: only ECHO and SHAvite-3, which use AES as a subroutine, benefit from the instructions I This is the first study of combining AES with the SHA-3 candidates on hardware (FPGA) The 2nd SHA-3 Candidate Conference Santa Barbara, CA, USA August 23–24, 2010 Research Topics and Motivation Research Questions I What modifications are required to embed AES into the data path of the hash algorithm (or vice versa)? I How much resources can be shared (logic, registers, memory, . )? I What are the costs (area, delay, throughput, power consumption, . )? Applications I Any applications that require dedicated hardware implementations of a hash algorithm and a block cipher would benefit from reduced costs I Particularly important if resources are very limited The 2nd SHA-3 Candidate Conference Santa Barbara, CA, USA August 23–24, 2010 Advanced Encryption Standard AES with a 128-bit key (AES-128) 8 I State: 4 × 4 bytes; each byte is an element of GF(2 ) I 10 rounds with four transformations Transformations I SubBytes: Bytes mapped -
Grostl-Comment-April28.Pdf
Some notes on Grøstl John Kelsey, NIST, April 2009 These are some quick notes on some properties and observations of Grøstl. Nothing in this note threatens the hash function; instead, I'm pointing out some properties that are a bit surprising, and some broad approaches someone might take to get attacks to work. I've discussed these with the Grøstl team, and gotten quite a bit of useful feedback. I'm pretty sure they agree that my observations are correct, but obviously, any errors here are mine alone. 1 Grøstl Compression Function The Grøstl compression function is built from two different fixed permutations, P and Q, on 2n bits, where n is the final hash output size. The design is quite interesting; among other things, this (like LANE and Luffa, among others) takes away the key schedule as a way of affecting things inside P and Q. Here is a picture of the Grøstl compression function: M Q v u w Y + P + Z In this diagram, I've labeled the input hash chaining value Y, the output Z, and the message M. Similarly, I have introduced variables for the internal values inside the compression function--u, v, and w. I'll use this notation a lot in the next few pages to simplify discussion. To write this in terms of equations: u = Y xor M v = Q(M) w = P(u) Z = v xor w xor Y or, in a shorter form: Z = Q(M) xor P(Y xor M) xor Y It's important to remember here that all variables are 2n bits, so for a 256-bit hash, they're 512 bits each. -
Methods and Tools for Analysis of Symmetric Cryptographic Primitives
METHODSANDTOOLS FOR ANALYSIS OF SYMMETRICCRYPTOGRAPHIC PRIMITIVES Oleksandr Kazymyrov dissertation for the degree of philosophiae doctor the selmer center department of informatics university of bergen norway DECEMBER 1, 2014 A CKNOWLEDGMENTS It is impossible to thank all those who have, directly or indirectly, helped me with this thesis, giving of their time and experience. I wish to use this opportunity to thank some of them. Foremost, I would like to express my very great appreciation to my main supervisor Tor Helleseth, who has shared his extensive knowledge and expe- rience, and made warm conditions for the comfortable research in one of the rainiest cities in the world. I owe a great deal to Lilya Budaghyan, who was always ready to offer assistance and suggestions during my research. Advice given by Alexander Kholosha has been a great help in the early stages of my work on the thesis. My grateful thanks are also extended to all my friends and colleagues at the Selmer Center for creating such a pleasant environment to work in. I am particularly grateful to Kjell Jørgen Hole, Matthew G. Parker and Håvard Raddum for the shared teaching experience they provided. Moreover, I am very grateful for the comments and propositions given by everyone who proofread my thesis. In addition, I would like to thank the administrative staff at the Department of Informatics for their immediate and exhaustive solutions of practical issues. I wish to acknowledge the staff at the Department of Information Tech- nologies Security, Kharkiv National University of Radioelectronics, Ukraine, especially Roman Oliynykov, Ivan Gorbenko, Viktor Dolgov and Oleksandr Kuznetsov for their patient guidance, enthusiastic encouragement and useful critiques. -
Recommendation for Applications Using Approved Hash Algorithms
Archived NIST Technical Series Publication The attached publication has been archived (withdrawn), and is provided solely for historical purposes. It may have been superseded by another publication (indicated below). Archived Publication Series/Number: NIST Special Publication 800-107 Title: Recommendation for Applications Using Approved Hash Algorithms Publication Date(s): February 2009 Withdrawal Date: August 2012 Withdrawal Note: SP 800-107 is superseded in its entirety by the publication of SP 800-107 Revision 1 (August 2012). Superseding Publication(s) The attached publication has been superseded by the following publication(s): Series/Number: NIST Special Publication 800-107 Revision 1 Title: Recommendation for Applications Using Approved Hash Algorithms Author(s): Quynh Dang Publication Date(s): August 2012 URL/DOI: http://dx.doi.org/10.6028/NIST.SP.107r1 Additional Information (if applicable) Contact: Computer Security Division (Information Technology Lab) Latest revision of the SP 800-107 Rev. 1 (as of August 12, 2015) attached publication: Related information: http://csrc.nist.gov/ Withdrawal N/A announcement (link): Date updated: ƵŐƵƐƚϭϮ, 2015 NIST Special Publication 800-107 Recommendation for Applications Using Approved Hash Algorithms Quynh Dang Computer Security Division Information Technology Laboratory C O M P U T E R S E C U R I T Y February 2009 U.S. Department of Commerce Otto J. Wolff, Acting Secretary National Institute of Standards and Technology Patrick D. Gallagher, Deputy Director NIST SP 800-107 Abstract Cryptographic hash functions that compute a fixed- length message digest from arbitrary length messages are widely used for many purposes in information security. This document provides security guidelines for achieving the required or desired security strengths when using cryptographic applications that employ the approved cryptographic hash functions specified in Federal Information Processing Standard (FIPS) 180-3. -
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 -
Modes of Operation for Compressed Sensing Based Encryption
Modes of Operation for Compressed Sensing based Encryption DISSERTATION zur Erlangung des Grades eines Doktors der Naturwissenschaften Dr. rer. nat. vorgelegt von Robin Fay, M. Sc. eingereicht bei der Naturwissenschaftlich-Technischen Fakultät der Universität Siegen Siegen 2017 1. Gutachter: Prof. Dr. rer. nat. Christoph Ruland 2. Gutachter: Prof. Dr.-Ing. Robert Fischer Tag der mündlichen Prüfung: 14.06.2017 To Verena ... s7+OZThMeDz6/wjq29ACJxERLMATbFdP2jZ7I6tpyLJDYa/yjCz6OYmBOK548fer 76 zoelzF8dNf /0k8H1KgTuMdPQg4ukQNmadG8vSnHGOVpXNEPWX7sBOTpn3CJzei d3hbFD/cOgYP4N5wFs8auDaUaycgRicPAWGowa18aYbTkbjNfswk4zPvRIF++EGH UbdBMdOWWQp4Gf44ZbMiMTlzzm6xLa5gRQ65eSUgnOoZLyt3qEY+DIZW5+N s B C A j GBttjsJtaS6XheB7mIOphMZUTj5lJM0CDMNVJiL39bq/TQLocvV/4inFUNhfa8ZM 7kazoz5tqjxCZocBi153PSsFae0BksynaA9ZIvPZM9N4++oAkBiFeZxRRdGLUQ6H e5A6HFyxsMELs8WN65SCDpQNd2FwdkzuiTZ4RkDCiJ1Dl9vXICuZVx05StDmYrgx S6mWzcg1aAsEm2k+Skhayux4a+qtl9sDJ5JcDLECo8acz+RL7/ ovnzuExZ3trm+O 6GN9c7mJBgCfEDkeror5Af4VHUtZbD4vALyqWCr42u4yxVjSj5fWIC9k4aJy6XzQ cRKGnsNrV0ZcGokFRO+IAcuWBIp4o3m3Amst8MyayKU+b94VgnrJAo02Fp0873wa hyJlqVF9fYyRX+couaIvi5dW/e15YX/xPd9hdTYd7S5mCmpoLo7cqYHCVuKWyOGw ZLu1ziPXKIYNEegeAP8iyeaJLnPInI1+z4447IsovnbgZxM3ktWO6k07IOH7zTy9 w+0UzbXdD/qdJI1rENyriAO986J4bUib+9sY/2/kLlL7nPy5Kxg3 Et0Fi3I9/+c/ IYOwNYaCotW+hPtHlw46dcDO1Jz0rMQMf1XCdn0kDQ61nHe5MGTz2uNtR3bty+7U CLgNPkv17hFPu/lX3YtlKvw04p6AZJTyktsSPjubqrE9PG00L5np1V3B/x+CCe2p niojR2m01TK17/oT1p0enFvDV8C351BRnjC86Z2OlbadnB9DnQSP3XH4JdQfbtN8 BXhOglfobjt5T9SHVZpBbzhDzeXAF1dmoZQ8JhdZ03EEDHjzYsXD1KUA6Xey03wU uwnrpTPzD99cdQM7vwCBdJnIPYaD2fT9NwAHICXdlp0pVy5NH20biAADH6GQr4Vc -
A Short Note on AES-Inspired Hashes
A Short Note on AES-Inspired Hashes Tor E. Bjørstad University of Bergen, Norway Email : [email protected] 1 Introduction This paper gives a rough classification of various AES-based hash algorithms that have been accepted for Round 1 of the NIST Hash Function Competition. We compare the different algorithms based on the number of \AES-like" rounds performed by a single invocation of the compression function, versus the size of the input block. This is not particularly rigorous or scientific way of comparing hash algorithms, but as we shall see it may still yield somewhat interesting results. With the exception of Sarmal and Whirlpool, all the listed algorithms use the AES S-box as their only source of nonlinearity. How they use it is a different matter. What all the algorithms do have in common, is that they use the 8 bit S-box together with a MDS matrix, in a construction where SubBytes() and MixColumns() are applied after one another on some internal data structure. The actual MDS matrices used are frequently different from the one in AES; for instance, Fugue uses a 16 × 16 matrix. For the sake of comparison, the number of of rounds has been normalised to correspond to those of AES-128. This is not entirely fair, but it would be hard to make any comparison between the internals of such wildly different hash algorithms without making some (over)simplifications. The reader is invited to take note of 3 main observations. First, there is a very wide spread between the number of \rounds" used by the different algorithms { but a strong tendency of clustering.