Appendix N Whirlpool
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GCM) for Confidentiality And
NIST Special Publication 800-38D Recommendation for Block DRAFT (April, 2006) Cipher Modes of Operation: Galois/Counter Mode (GCM) for Confidentiality and Authentication Morris Dworkin C O M P U T E R S E C U R I T Y Abstract This Recommendation specifies the Galois/Counter Mode (GCM), an authenticated encryption mode of operation for a symmetric key block cipher. KEY WORDS: authentication; block cipher; cryptography; information security; integrity; message authentication code; mode of operation. i Table of Contents 1 PURPOSE...........................................................................................................................................................1 2 AUTHORITY.....................................................................................................................................................1 3 INTRODUCTION..............................................................................................................................................1 4 DEFINITIONS, ABBREVIATIONS, AND SYMBOLS.................................................................................2 4.1 DEFINITIONS AND ABBREVIATIONS .............................................................................................................2 4.2 SYMBOLS ....................................................................................................................................................4 4.2.1 Variables................................................................................................................................................4 -
Block Cipher Modes
Block Cipher Modes Data and Information Management: ELEN 3015 School of Electrical and Information Engineering, University of the Witwatersrand March 25, 2010 Overview Motivation for Cryptographic Modes Electronic Codebook Mode (ECB) Cipher Block Chaining (CBC) Cipher Feedback Mode (CFB) Output Feedback Mode (OFB) 1. Cryptographic Modes Problem: With block ciphers, same plaintext block always enciphers to the same ciphertext block under the same key 1. Cryptographic Modes Solution: Cryptographic mode: • block cipher • feedback • simple operations Simple operations, as the security lies in the cipher. 1. Cryptographic Modes 1.1 Considerations • The mode should not compromise security of cipher • Mode should conceal patterns in plaintext • Some random starting point is needed • Difficult to manipulate the plaintext by changing ciphertext • Requires multiple messages to be encrypted with same key • No significant impact on efficiency of cipher • Ciphertext same size as plaintext • Fault tolerance - recover from errors 2. Electronic Codebook Mode Uses the block cipher without modifications Same plaintext block encrypts to same ciphertext under same key Each plaintext block is encrypted independently of other plaintext blocks. Corrupted bits only affects one block Dropped/inserted bits cause sync errors ! all subsequent blocks decipher incorrectly 2. Electronic Codebook Mode 2.1 Advantages ECB exhibits `random access property' because plaintext blocks are encrypted independently • Encryption and decryption can be done in any order • Beneficial for databases, records can be added, deleted, modified, encrypted and deleted independently of other records Parallel implementation • Different blocks can simultaneously be decrypted on separate processors Many messages can be encrypted with the same key, since each block is independent. 2. -
Cryptographic Sponge Functions
Cryptographic sponge functions Guido B1 Joan D1 Michaël P2 Gilles V A1 http://sponge.noekeon.org/ Version 0.1 1STMicroelectronics January 14, 2011 2NXP Semiconductors Cryptographic sponge functions 2 / 93 Contents 1 Introduction 7 1.1 Roots .......................................... 7 1.2 The sponge construction ............................... 8 1.3 Sponge as a reference of security claims ...................... 8 1.4 Sponge as a design tool ................................ 9 1.5 Sponge as a versatile cryptographic primitive ................... 9 1.6 Structure of this document .............................. 10 2 Definitions 11 2.1 Conventions and notation .............................. 11 2.1.1 Bitstrings .................................... 11 2.1.2 Padding rules ................................. 11 2.1.3 Random oracles, transformations and permutations ........... 12 2.2 The sponge construction ............................... 12 2.3 The duplex construction ............................... 13 2.4 Auxiliary functions .................................. 15 2.4.1 The absorbing function and path ...................... 15 2.4.2 The squeezing function ........................... 16 2.5 Primary aacks on a sponge function ........................ 16 3 Sponge applications 19 3.1 Basic techniques .................................... 19 3.1.1 Domain separation .............................. 19 3.1.2 Keying ..................................... 20 3.1.3 State precomputation ............................ 20 3.2 Modes of use of sponge functions ......................... -
VHDL Implementation of Twofish Algorithm
VHDL Implementation of Twofish Algorithm Purnima Gehlot Richa Sharma S. R. Biradar Mody Institute of Mody Institute of Mody Institute of Technology Technology Technology and Science and Science and Science Laxmangarh, Sikar Laxmangarh, Sikar Laxmangarh, Sikar Rajasthan,India Rajasthan,India Rajasthan,India [email protected] [email protected] [email protected] which consists of two modules of function g, one MDS i.e. maximum ABSTRACT distance separable matrix,a PHT i.e. pseudo hadamard transform and Every day hundreds and thousands of people interact electronically, two adders of 32-bit for one round. To increase the complexity of the whether it is through emails, e-commerce, etc. through internet. For algorithm we can perform Endian function over the input bit stream. sending sensitive messages over the internet, we need security. In this Different modules of twofish algorithms are: paper a security algorithms, Twofish (Symmetric key cryptographic algorithm) [1] has been explained. All the important modules of 2.1 ENDIAN FUNCTION Twofish algorithm, which are Function F and g, MDS, PHT, are implemented on Xilinx – 6.1 xst software and there delay calculations Endian Function is a transformation of the input data. It is used as an interface between the input data provided to the circuit and the rest has been done on FPGA families which are Spartan2, Spartan2E and of the cipher. It can be used with all the key-sizes [5]. Here 128-bit VirtexE. input is divided into 16 bytes from byte0 to byte15 and are rearranged to get the output of 128-bit. Keywords Twofish, MDS, PHT, symmetric key, Function F and g. -
Recommendation for Block Cipher Modes of Operation Methods
NIST Special Publication 800-38A Recommendation for Block 2001 Edition Cipher Modes of Operation Methods and Techniques Morris Dworkin C O M P U T E R S E C U R I T Y ii C O M P U T E R S E C U R I T Y Computer Security Division Information Technology Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899-8930 December 2001 U.S. Department of Commerce Donald L. Evans, Secretary Technology Administration Phillip J. Bond, Under Secretary of Commerce for Technology National Institute of Standards and Technology Arden L. Bement, Jr., Director iii Reports on Information Security Technology The Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST) promotes the U.S. economy and public welfare by providing technical leadership for the Nation’s measurement and standards infrastructure. ITL develops tests, test methods, reference data, proof of concept implementations, and technical analyses to advance the development and productive use of information technology. ITL’s responsibilities include the development of technical, physical, administrative, and management standards and guidelines for the cost-effective security and privacy of sensitive unclassified information in Federal computer systems. This Special Publication 800-series reports on ITL’s research, guidance, and outreach efforts in computer security, and its collaborative activities with industry, government, and academic organizations. Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. -
The Whirlpool Secure Hash Function
Cryptologia, 30:55–67, 2006 Copyright Taylor & Francis Group, LLC ISSN: 0161-1194 print DOI: 10.1080/01611190500380090 The Whirlpool Secure Hash Function WILLIAM STALLINGS Abstract In this paper, we describe Whirlpool, which is a block-cipher-based secure hash function. Whirlpool produces a hash code of 512 bits for an input message of maximum length less than 2256 bits. The underlying block cipher, based on the Advanced Encryption Standard (AES), takes a 512-bit key and oper- ates on 512-bit blocks of plaintext. Whirlpool has been endorsed by NESSIE (New European Schemes for Signatures, Integrity, and Encryption), which is a European Union-sponsored effort to put forward a portfolio of strong crypto- graphic primitives of various types. Keywords advanced encryption standard, block cipher, hash function, sym- metric cipher, Whirlpool Introduction In this paper, we examine the hash function Whirlpool [1]. Whirlpool was developed by Vincent Rijmen, a Belgian who is co-inventor of Rijndael, adopted as the Advanced Encryption Standard (AES); and by Paulo Barreto, a Brazilian crypto- grapher. Whirlpool is one of only two hash functions endorsed by NESSIE (New European Schemes for Signatures, Integrity, and Encryption) [13].1 The NESSIE project is a European Union-sponsored effort to put forward a portfolio of strong cryptographic primitives of various types, including block ciphers, symmetric ciphers, hash functions, and message authentication codes. Background An essential element of most digital signature and message authentication schemes is a hash function. A hash function accepts a variable-size message M as input and pro- duces a fixed-size hash code HðMÞ, sometimes called a message digest, as output. -
Block Cipher and Data Encryption Standard (DES)
Block Cipher and Data Encryption Standard (DES) 2021.03.09 Presented by: Mikail Mohammed Salim Professor 박종혁 Cryptography and Information Security 1 Block Cipher and Data Encryption Standard (DES) Contents • What is Block Cipher? • Padding in Block Cipher • Ideal Block Cipher • What is DES? • DES- Key Discarding Process • Des- 16 rounds of Encryption • How secure is DES? 2 Block Cipher and Data Encryption Standard (DES) What is Block Cipher? • An encryption technique that applies an algorithm with parameters to encrypt blocks of text. • Each plaintext block has an equal length of ciphertext block. • Each output block is the same size as the input block, the block being transformed by the key. • Block size range from 64 -128 bits and process the plaintext in blocks of 64 or 128 bits. • Several bits of information is encrypted with each block. Longer messages are encoded by invoking the cipher repeatedly. 3 Block Cipher and Data Encryption Standard (DES) What is Block Cipher? • Each message (p) grouped in blocks is encrypted (enc) using a key (k) into a Ciphertext (c). Therefore, 푐 = 푒푛푐푘(푝) • The recipient requires the same k to decrypt (dec) the p. Therefore, 푝 = 푑푒푐푘(푐) 4 Block Cipher and Data Encryption Standard (DES) Padding in Block Cipher • Block ciphers process blocks of fixed sizes, such as 64 or 128 bits. The length of plaintexts is mostly not a multiple of the block size. • A 150-bit plaintext provides two blocks of 64 bits each with third block of remaining 22 bits. • The last block of bits needs to be padded up with redundant information so that the length of the final block equal to block size of the scheme. -
Characterization of Padding Rules and Different Variants of MD Hash Functions
Characterization of Padding Rules and Different Variants of MD Hash Functions Mridul Nandi National Institute of Standards and Technology Outline • Introduction to hash function and known Padding Rules. • Thm1 : Suffix-free Padding rule is necessary and sufficient for MD hash functions. • Thm2 : A new suffix-free padding rule handling arbitrary message using log |M| bits and study comparison. • Thm3 : The simplest 10 k padding rule (no length overhead) is secure on a modified MD hash or mMD . • Thm4 : It also works for newly introduced design mode BCM ( Backward Chaining Mode ) and its modification mBCM . Introduction to Hash Function: Security notions, applications and MD iteration and known padding rules Hash Function Arbitrary Length Strings à fixed length strings 101010101010101010101010101010110101010101010010101010101101001001001001010101110100010101110100100001001011100010010001000101101 001010111010001010100010100010100101010101010101010101010000000000011111110110101011010101010101010010110101010101010101111110000 101010101010100101010101010011101010100110101010101010101010101010101010101010101010010111100001110101110000111010001100011110011 101010110101010101010101011001010001010101000010001010111000101110010100000101001110010101010101011101010101010101010101010101010 110101010101010010101010101101001001001001010101110100010101110100100001001011100010010001000101101001010111010001010100010100010 10010101010101010101010101000000000001111111011010101101010101010101001011010101010101010111111000010101010101010010101010101 001 1 10101010011010101010101010101010101010101010101010101001011110000111010111000011101000110001111001110101011010101010101010101 -
Lightweight Diffusion Layer from the Kth Root of the MDS Matrix
Lightweight Diffusion Layer from the kth root of the MDS Matrix Souvik Kolay1, Debdeep Mukhopadhyay1 1Dept. of Computer Science and Engineering Indian Institute of Technology Kharagpur, India fsouvik1809,[email protected] Abstract. The Maximum Distance Separable (MDS) mapping, used in cryptog- raphy deploys complex Galois field multiplications, which consume lots of area in hardware, making it a costly primitive for lightweight cryptography. Recently in lightweight hash function: PHOTON, a matrix denoted as ‘Serial’, which re- quired less area for multiplication, has been multiplied 4 times to achieve a lightweight MDS mapping. But no efficient method has been proposed so far to synthesize such a serial matrix or to find the required number of repetitive multiplications needed to be performed for a given MDS mapping. In this pa- per, first we provide an generic algorithm to find out a low-cost matrix, which can be multiplied k times to obtain a given MDS mapping. Further, we optimize the algorithm for using in cryptography and show an explicit case study on the MDS mapping of the hash function PHOTON to obtain the ‘Serial’. The work also presents quite a few results which may be interesting for lightweight imple- mentation. Keywords: MDS Matrix, kth Root of a Matrix, Lightweight Diffusion Layer 1 Introduction With several resource constrained devices requiring support for cryptographic algo- rithms, the need for lightweight cryptography is imperative. Several block ciphers, like Kasumi[19], mCrypton[24], HIGHT[20], DESL and DESXL[23], CLEFIA[34], Present[8], Puffin[11], MIBS[22], KATAN[9], Klein[14], TWINE[36], LED[16], Pic- colo [33] etc and hash functions like PHOTON[33], SPONGENT[7], Quark [3] etc. -
Secret-Key Encryption Introduction
Secret-Key Encryption Introduction • Encryption is the process of encoding a message in such a way that only authorized parties can read the content of the original message • History of encryption dates back to 1900 BC • Two types of encryption • secret-key encryption : same key for encryption and decryption • pubic-key encryption : different keys for encryption and decryption • We focus on secret-key encryption in this chapter Substitution Cipher • Encryption is done by replacing units of plaintext with ciphertext, according to a fixed system. • Units may be single letters, pairs of letters, triplets of letters, mixtures of the above, and so forth • Decryption simply performs the inverse substitution. • Two typical substitution ciphers: • monoalphabetic - fixed substitution over the entire message • Polyalphabetic - a number of substitutions at different positions in the message Monoalphabetic Substitution Cipher • Encryption and decryption Breaking Monoalphabetic Substitution Cipher • Frequency analysis is the study of the frequency of letters or groups of letters in a ciphertext. • Common letters : T, A, E, I, O • Common 2-letter combinations (bigrams): TH, HE, IN, ER • Common 3-letter combinations (trigrams): THE, AND, and ING Breaking Monoalphabetic Substitution Cipher • Letter Frequency Analysis results: Breaking Monoalphabetic Substitution Cipher • Bigram Frequency Analysis results: Breaking Monoalphabetic Substitution Cipher • Trigram Frequency analysis results: Breaking Monoalphabetic Substitution Cipher • Applying the partial mappings… Data Encryption Standard (DES) • DES is a block cipher - can only encrypt a block of data • Block size for DES is 64 bits • DES uses 56-bit keys although a 64-bit key is fed into the algorithm • Theoretical attacks were identified. None was practical enough to cause major concerns. -
Variations to the Cryptographic Algorithms Aes and Twofish
VARIATIONS TO THE CRYPTOGRAPHIC ALGORITHMS AES AND TWOFISH P. Freyre∗1, N. D´ıaz ∗ and O. Cuellar y2 ∗Faculty of Mathematics and Computer Science, University of Havana, Cuba. yFaculty of Mathematics, Physical and Computer Science, Central University of Las Villas, Cuba. 1e-mail: [email protected] 2e-mail: [email protected] Abstract The cryptographic algorithms AES and Twofish guarantee a high diffusion by the use of fixed 4×4 MDS matrices. In this article variations to the algorithms AES and Twofish are made. They allow that the process of cipher - decipher come true with MDS matrices selected randomly from the set of all MDS matrices with the use of proposed algorithm. A new key schedule with a high diffusion is designed for the algorithm AES. Besides proposed algorithm generate new S - box that depends of the key. Key words: Block Cipher, AES, Twofish, S - boxes, MDS matrix. 1 1 Introduction. The cryptographic algorithms Rijndael (see [DR99] and [DR02]) and Twofish (see [SKWHF98] and [GBS13]) were finalists of the contest to select the Advanced Encryption Standard (AES) convened by the National Institute of Standards and Technology from the United States (NIST). The contest finished in October 2000 with the selection of the algorithm Rijndael as the AES, stated algorithm was proposed by Joan Daemen and Vincent Rijmen from Belgium. In order to reach a high diffusion, the algorithms AES and Twofish, use a MDS (Maximal Distance Separable) matrices, selected a priori. In this article we will explain the variations of these algorithms, where the MDS matrices are selected randomly as function of the secret key. -
On Constructions of MDS Matrices from Circulant-Like Matrices for Lightweight Cryptography
On Constructions of MDS Matrices From Circulant-Like Matrices For Lightweight Cryptography Technical Report No. ASU/2014/1 Dated : 14th February, 2014 Kishan Chand Gupta Applied Statistics Unit Indian Statistical Institute 203, B. T. Road, Kolkata 700108, INDIA. [email protected] Indranil Ghosh Ray Applied Statistics Unit Indian Statistical Institute 203, B. T. Road, Kolkata 700108, INDIA. indranil [email protected] On Constructions of MDS Matrices From Circulant-Like Matrices For Lightweight Cryptography Kishan Chand Gupta and Indranil Ghosh Ray Applied Statistics Unit, Indian Statistical Institute. 203, B. T. Road, Kolkata 700108, INDIA. [email protected], indranil [email protected] Abstract. Maximum distance separable (MDS) matrices have applications not only in coding theory but are also of great importance in the design of block ciphers and hash functions. It is highly nontrivial to find MDS matrices which could be used in lightweight cryptography. In a SAC 2004 paper, Junod et. al. constructed a new class of efficient MDS matrices whose submatrices were circulant matrices and they coined the term circulating-like matrices for these new class of matrices which we rename as circulant-like matrices. In this paper we study this construction and propose efficient 4 × 4 and 8 × 8 circulant-like MDS matrices. We prove that such d × d circulant-like MDS matrices can not be involutory or orthogonal which are good for designing SPN networks. Although these matrices are efficient, but the inverse of such matrices are not guaranteed to be efficient. Towards this we design a new type of circulant- like MDS matrices which are by construction involutory.