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Block Ciphers and the Data Encryption Standard
Lecture 3: Block Ciphers and the Data Encryption Standard Lecture Notes on “Computer and Network Security” by Avi Kak ([email protected]) January 26, 2021 3:43pm ©2021 Avinash Kak, Purdue University Goals: To introduce the notion of a block cipher in the modern context. To talk about the infeasibility of ideal block ciphers To introduce the notion of the Feistel Cipher Structure To go over DES, the Data Encryption Standard To illustrate important DES steps with Python and Perl code CONTENTS Section Title Page 3.1 Ideal Block Cipher 3 3.1.1 Size of the Encryption Key for the Ideal Block Cipher 6 3.2 The Feistel Structure for Block Ciphers 7 3.2.1 Mathematical Description of Each Round in the 10 Feistel Structure 3.2.2 Decryption in Ciphers Based on the Feistel Structure 12 3.3 DES: The Data Encryption Standard 16 3.3.1 One Round of Processing in DES 18 3.3.2 The S-Box for the Substitution Step in Each Round 22 3.3.3 The Substitution Tables 26 3.3.4 The P-Box Permutation in the Feistel Function 33 3.3.5 The DES Key Schedule: Generating the Round Keys 35 3.3.6 Initial Permutation of the Encryption Key 38 3.3.7 Contraction-Permutation that Generates the 48-Bit 42 Round Key from the 56-Bit Key 3.4 What Makes DES a Strong Cipher (to the 46 Extent It is a Strong Cipher) 3.5 Homework Problems 48 2 Computer and Network Security by Avi Kak Lecture 3 Back to TOC 3.1 IDEAL BLOCK CIPHER In a modern block cipher (but still using a classical encryption method), we replace a block of N bits from the plaintext with a block of N bits from the ciphertext. -
Block Ciphers
Block Ciphers Chester Rebeiro IIT Madras CR STINSON : chapters 3 Block Cipher KE KD untrusted communication link Alice E D Bob #%AR3Xf34^$ “Attack at Dawn!!” message encryption (ciphertext) decryption “Attack at Dawn!!” Encryption key is the same as the decryption key (KE = K D) CR 2 Block Cipher : Encryption Key Length Secret Key Plaintext Ciphertext Block Cipher (Encryption) Block Length • A block cipher encryption algorithm encrypts n bits of plaintext at a time • May need to pad the plaintext if necessary • y = ek(x) CR 3 Block Cipher : Decryption Key Length Secret Key Ciphertext Plaintext Block Cipher (Decryption) Block Length • A block cipher decryption algorithm recovers the plaintext from the ciphertext. • x = dk(y) CR 4 Inside the Block Cipher PlaintextBlock (an iterative cipher) Key Whitening Round 1 key1 Round 2 key2 Round 3 key3 Round n keyn Ciphertext Block • Each round has the same endomorphic cryptosystem, which takes a key and produces an intermediate ouput • Size of the key is huge… much larger than the block size. CR 5 Inside the Block Cipher (the key schedule) PlaintextBlock Secret Key Key Whitening Round 1 Round Key 1 Round 2 Round Key 2 Round 3 Round Key 3 Key Expansion Expansion Key Key Round n Round Key n Ciphertext Block • A single secret key of fixed size used to generate ‘round keys’ for each round CR 6 Inside the Round Function Round Input • Add Round key : Add Round Key Mixing operation between the round input and the round key. typically, an ex-or operation Confusion Layer • Confusion layer : Makes the relationship between round Diffusion Layer input and output complex. -
Mirror Cipher Using Feistel Network
Mirror Cipher using Feistel Network 1 2 3 Ihsan Muhammad Asnadi Ranindya Paramitha Tony 123 Informatics Department, Institut Teknologi Bandung, Bandung 40132, Indonesia 1 2 3 E-mail: 1 [email protected] 1 [email protected] 1 [email protected] Abstract. Mirror cipher is a cipher built by creativity which has a specific feature of mirrored round function. As other ciphers, mirror cipher could be used to secure messages’ confidentiality and integrity. This cipher receives message and key inputs from its user. Then, it runs 9 rounds of feistel networks in ECB modes. Each round would run a round function which consists of 5 functions in mirrored order (9 function calls in total): s-box substitution, row substitution, column substitution, column cumulative xor, and round key addition. This cipher is implemented using Python and has been tested using several message and key combinations. Mirror cipher has applied Shanon’s diffusion and confusion property and proven to be secured from bruteforce and frequency analysis attack. 1. Introduction 1.1. Background In this modern world, data or messages are exchanged anytime and anywhere. To protect confidentiality and integrity of messages, people usually encrypt their messages before sending them, and then decrypt the received messages before reading them. These encryption and decryption practices and techniques are contained under the big concept of cryptography. There are many ciphers (encryption and decryption algorithms) that have been developed since the BC period. Ciphers are then divided into 2 kinds of ciphers, based on how it treats the message: stream cipher and block cipher. -
Chapter 3 – Block Ciphers and the Data Encryption Standard
Symmetric Cryptography Chapter 6 Block vs Stream Ciphers • Block ciphers process messages into blocks, each of which is then en/decrypted – Like a substitution on very big characters • 64-bits or more • Stream ciphers process messages a bit or byte at a time when en/decrypting – Many current ciphers are block ciphers • Better analyzed. • Broader range of applications. Block vs Stream Ciphers Block Cipher Principles • Block ciphers look like an extremely large substitution • Would need table of 264 entries for a 64-bit block • Arbitrary reversible substitution cipher for a large block size is not practical – 64-bit general substitution block cipher, key size 264! • Most symmetric block ciphers are based on a Feistel Cipher Structure • Needed since must be able to decrypt ciphertext to recover messages efficiently Ideal Block Cipher Substitution-Permutation Ciphers • in 1949 Shannon introduced idea of substitution- permutation (S-P) networks – modern substitution-transposition product cipher • These form the basis of modern block ciphers • S-P networks are based on the two primitive cryptographic operations we have seen before: – substitution (S-box) – permutation (P-box) (transposition) • Provide confusion and diffusion of message Diffusion and Confusion • Introduced by Claude Shannon to thwart cryptanalysis based on statistical analysis – Assume the attacker has some knowledge of the statistical characteristics of the plaintext • Cipher needs to completely obscure statistical properties of original message • A one-time pad does this Diffusion -
A Novel Feistel Cipher Involving a Bunch of Keys Supplemented with XOR Operation
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 12, 2012 A Novel Feistel Cipher Involving a Bunch of Keys Supplemented with XOR Operation V.U.K Sastry K. Anup Kumar Dean R&D, Department of Computer Science and Associate Professor, Department of Computer Science Engineering, Sreenidhi Institute of Science & Tech. and Engineering, SNIST, Hyderabad, India Hyderabad, India Abstract—In this investigation, we have developed a novel block In order to satisfy (1.5), we chose ejk as an odd integer, cipher by modifying classical Feistel cipher. In this, we have used which lies in the interval [1-255], and thus we obtain djk also as a key bunched wherein each key has a multiplicative inverse. The an odd integer lying in the interval [1-255]. cryptanalysis carried out in this investigation clearly shows that this cipher cannot be broken by any attack. Here also we adopt an iterative procedure, and make use of the permutation process that consists of the interchange of the Keywords-encryption; decryption; cryptanalysis; avalanche effect; two halves of the plaintext , of course, represented in the form multiplicative inverse. of a pair of matrices. I. INTRODUCTION In the present analysis, our objective is to modify the Feistel cipher by including a bunch of keys. Here our interest is The study of the Feistel cipher [1-2] laid the foundation for to see how the different keys, occurring in the key bunch, the development of cryptography in the seventies of the last would influence the strength of the cipher. century. In the classical Feistel cipher the block size is 64 bits, and it is divided into two halves wherein each half is containing In what follows, we present the plan of the paper. -
Symmetric Key Ciphers Objectives
Symmetric Key Ciphers Debdeep Mukhopadhyay Assistant Professor Department of Computer Science and Engineering Indian Institute of Technology Kharagpur INDIA -721302 Objectives • Definition of Symmetric Types of Symmetric Key ciphers – Modern Block Ciphers • Full Size and Partial Size Key Ciphers • Components of a Modern Block Cipher – PBox (Permutation Box) – SBox (Substitution Box) –Swap – Properties of the Exclusive OR operation • Diffusion and Confusion • Types of Block Ciphers: Feistel and non-Feistel ciphers D. Mukhopadhyay Crypto & Network Security IIT Kharagpur 1 Symmetric Key Setting Communication Message Channel Message E D Ka Kb Bob Alice Assumptions Eve Ka is the encryption key, Kb is the decryption key. For symmetric key ciphers, Ka=Kb - Only Alice and Bob knows Ka (or Kb) - Eve has access to E, D and the Communication Channel but does not know the key Ka (or Kb) Types of symmetric key ciphers • Block Ciphers: Symmetric key ciphers, where a block of data is encrypted • Stream Ciphers: Symmetric key ciphers, where block size=1 D. Mukhopadhyay Crypto & Network Security IIT Kharagpur 2 Block Ciphers Block Cipher • A symmetric key modern cipher encrypts an n bit block of plaintext or decrypts an n bit block of ciphertext. •Padding: – If the message has fewer than n bits, padding must be done to make it n bits. – If the message size is not a multiple of n, then it should be divided into n bit blocks and the last block should be padded. D. Mukhopadhyay Crypto & Network Security IIT Kharagpur 3 Full Size Key Ciphers • Transposition Ciphers: – Involves rearrangement of bits, without changing value. – Consider an n bit cipher – How many such rearrangements are possible? •n! – How many key bits are necessary? • ceil[log2 (n!)] Full Size Key Ciphers • Substitution Ciphers: – It does not transpose bits, but substitutes values – Can we model this as a permutation? – Yes. -
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. -
Block Ciphers
BLOCK CIPHERS MTH 440 Block ciphers • Plaintext is divided into blocks of a given length and turned into output ciphertext blocks of the same length • Suppose you had a block cipher, E(x,k) where the input plaintext blocks,x, were of size 5-bits and a 4-bit key, k. • PT = 10100010101100101 (17 bits), “Pad” the PT so that its length is a multiple of 5 (we will just pad with 0’s – it doesn’t really matter) • PT = 10100010101100101000 • Break the PT into blocks of 5-bits each (x=x1x2x3x4) where each xi is 5 bits) • x1=10100, x2= 01010, x3=11001, x4=01000 • Ciphertext: c1c2c3c4 where • c1=E(x1,k1), c2=E(x2,k2), c3=E(x3,k3), c4=E(x4,k4) • (when I write the blocks next to each other I just mean concatentate them (not multiply) – we’ll do this instead of using the || notation when it is not confusing) • Note the keys might all be the same or all different What do the E’s look like? • If y = E(x,k) then we’ll assume that we can decipher to a unique output so there is some function, we’ll call it D, so that x = D(y,k) • We might define our cipher to be repeated applications of some function E either with the same or different keys, we call each of these applications “round” • For example we might have a “3 round” cipher: y Fk x E((() E E x, k1 , k 2)), k 3 • We would then decipher via 1 x Fk (,, y) D((() D D y, k3 k 2) k 1) S-boxes (Substitution boxes) • Sometimes the “functions” used in the ciphers are just defined by a look up table that are often referred to “S- boxes” •x1 x 2 x 3 S(x 1 x 2 x 3 ) Define a 4-bit function with a 3-bit key 000 -
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. -
Meet-In-The-Middle Attacks on Reduced-Round XTEA*
Meet-in-the-Middle Attacks on Reduced-Round XTEA⋆ Gautham Sekar⋆⋆, Nicky Mouha⋆ ⋆ ⋆, Vesselin Velichkov†, and Bart Preneel 1 Department of Electrical Engineering ESAT/SCD-COSIC, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee, Belgium. 2 Interdisciplinary Institute for BroadBand Technology (IBBT), Belgium. {Gautham.Sekar,Nicky.Mouha,Vesselin.Velichkov, Bart.Preneel}@esat.kuleuven.be Abstract. The block cipher XTEA, designed by Needham and Wheeler, was published as a technical report in 1997. The cipher was a result of fixing some weaknesses in the cipher TEA (also designed by Wheeler and Needham), which was used in Microsoft’s Xbox gaming console. XTEA is a 64-round Feistel cipher with a block size of 64 bits and a key size of 128 bits. In this paper, we present meet-in-the-middle attacks on twelve vari- ants of the XTEA block cipher, where each variant consists of 23 rounds. Two of these require only 18 known plaintexts and a computational ef- fort equivalent to testing about 2117 keys, with a success probability of 1−2 −1025. Under the standard (single-key) setting, there is no attack re- ported on 23 or more rounds of XTEA, that requires less time and fewer data than the above. This paper also discusses a variant of the classical meet-in-the-middle approach. All attacks in this paper are applicable to XETA as well, a block cipher that has not undergone public analysis yet. TEA, XTEA and XETA are implemented in the Linux kernel. Keywords: Cryptanalysis, block cipher, meet-in-the-middle attack, Feis- tel network, XTEA, XETA. -
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. -
Applications of Search Techniques to Cryptanalysis and the Construction of Cipher Components. James David Mclaughlin Submitted F
Applications of search techniques to cryptanalysis and the construction of cipher components. James David McLaughlin Submitted for the degree of Doctor of Philosophy (PhD) University of York Department of Computer Science September 2012 2 Abstract In this dissertation, we investigate the ways in which search techniques, and in particular metaheuristic search techniques, can be used in cryptology. We address the design of simple cryptographic components (Boolean functions), before moving on to more complex entities (S-boxes). The emphasis then shifts from the construction of cryptographic arte- facts to the related area of cryptanalysis, in which we first derive non-linear approximations to S-boxes more powerful than the existing linear approximations, and then exploit these in cryptanalytic attacks against the ciphers DES and Serpent. Contents 1 Introduction. 11 1.1 The Structure of this Thesis . 12 2 A brief history of cryptography and cryptanalysis. 14 3 Literature review 20 3.1 Information on various types of block cipher, and a brief description of the Data Encryption Standard. 20 3.1.1 Feistel ciphers . 21 3.1.2 Other types of block cipher . 23 3.1.3 Confusion and diffusion . 24 3.2 Linear cryptanalysis. 26 3.2.1 The attack. 27 3.3 Differential cryptanalysis. 35 3.3.1 The attack. 39 3.3.2 Variants of the differential cryptanalytic attack . 44 3.4 Stream ciphers based on linear feedback shift registers . 48 3.5 A brief introduction to metaheuristics . 52 3.5.1 Hill-climbing . 55 3.5.2 Simulated annealing . 57 3.5.3 Memetic algorithms . 58 3.5.4 Ant algorithms .