Impossible Plaintext Cryptanalysis and Probable-Plaintext Collision Attacks of 64-Bit Block Cipher Modes
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Basic Cryptography
Basic cryptography • How cryptography works... • Symmetric cryptography... • Public key cryptography... • Online Resources... • Printed Resources... I VP R 1 © Copyright 2002-2007 Haim Levkowitz How cryptography works • Plaintext • Ciphertext • Cryptographic algorithm • Key Decryption Key Algorithm Plaintext Ciphertext Encryption I VP R 2 © Copyright 2002-2007 Haim Levkowitz Simple cryptosystem ... ! ABCDEFGHIJKLMNOPQRSTUVWXYZ ! DEFGHIJKLMNOPQRSTUVWXYZABC • Caesar Cipher • Simple substitution cipher • ROT-13 • rotate by half the alphabet • A => N B => O I VP R 3 © Copyright 2002-2007 Haim Levkowitz Keys cryptosystems … • keys and keyspace ... • secret-key and public-key ... • key management ... • strength of key systems ... I VP R 4 © Copyright 2002-2007 Haim Levkowitz Keys and keyspace … • ROT: key is N • Brute force: 25 values of N • IDEA (international data encryption algorithm) in PGP: 2128 numeric keys • 1 billion keys / sec ==> >10,781,000,000,000,000,000,000 years I VP R 5 © Copyright 2002-2007 Haim Levkowitz Symmetric cryptography • DES • Triple DES, DESX, GDES, RDES • RC2, RC4, RC5 • IDEA Key • Blowfish Plaintext Encryption Ciphertext Decryption Plaintext Sender Recipient I VP R 6 © Copyright 2002-2007 Haim Levkowitz DES • Data Encryption Standard • US NIST (‘70s) • 56-bit key • Good then • Not enough now (cracked June 1997) • Discrete blocks of 64 bits • Often w/ CBC (cipherblock chaining) • Each blocks encr. depends on contents of previous => detect missing block I VP R 7 © Copyright 2002-2007 Haim Levkowitz Triple DES, DESX, -
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. -
1 Perfect Secrecy of the One-Time Pad
1 Perfect secrecy of the one-time pad In this section, we make more a more precise analysis of the security of the one-time pad. First, we need to define conditional probability. Let’s consider an example. We know that if it rains Saturday, then there is a reasonable chance that it will rain on Sunday. To make this more precise, we want to compute the probability that it rains on Sunday, given that it rains on Saturday. So we restrict our attention to only those situations where it rains on Saturday and count how often this happens over several years. Then we count how often it rains on both Saturday and Sunday. The ratio gives an estimate of the desired probability. If we call A the event that it rains on Saturday and B the event that it rains on Sunday, then the intersection A ∩ B is when it rains on both days. The conditional probability of A given B is defined to be P (A ∩ B) P (B | A)= , P (A) where P (A) denotes the probability of the event A. This formula can be used to define the conditional probability of one event given another for any two events A and B that have probabilities (we implicitly assume throughout this discussion that any probability that occurs in a denominator has nonzero probability). Events A and B are independent if P (A ∩ B)= P (A) P (B). For example, if Alice flips a fair coin, let A be the event that the coin ends up Heads. If Bob rolls a fair six-sided die, let B be the event that he rolls a 3. -
Related-Key Cryptanalysis of 3-WAY, Biham-DES,CAST, DES-X, Newdes, RC2, and TEA
Related-Key Cryptanalysis of 3-WAY, Biham-DES,CAST, DES-X, NewDES, RC2, and TEA John Kelsey Bruce Schneier David Wagner Counterpane Systems U.C. Berkeley kelsey,schneier @counterpane.com [email protected] f g Abstract. We present new related-key attacks on the block ciphers 3- WAY, Biham-DES, CAST, DES-X, NewDES, RC2, and TEA. Differen- tial related-key attacks allow both keys and plaintexts to be chosen with specific differences [KSW96]. Our attacks build on the original work, showing how to adapt the general attack to deal with the difficulties of the individual algorithms. We also give specific design principles to protect against these attacks. 1 Introduction Related-key cryptanalysis assumes that the attacker learns the encryption of certain plaintexts not only under the original (unknown) key K, but also under some derived keys K0 = f(K). In a chosen-related-key attack, the attacker specifies how the key is to be changed; known-related-key attacks are those where the key difference is known, but cannot be chosen by the attacker. We emphasize that the attacker knows or chooses the relationship between keys, not the actual key values. These techniques have been developed in [Knu93b, Bih94, KSW96]. Related-key cryptanalysis is a practical attack on key-exchange protocols that do not guarantee key-integrity|an attacker may be able to flip bits in the key without knowing the key|and key-update protocols that update keys using a known function: e.g., K, K + 1, K + 2, etc. Related-key attacks were also used against rotor machines: operators sometimes set rotors incorrectly. -
The Missing Difference Problem, and Its Applications to Counter Mode
The Missing Difference Problem, and its Applications to Counter Mode Encryption? Ga¨etanLeurent and Ferdinand Sibleyras Inria, France fgaetan.leurent,[email protected] Abstract. The counter mode (CTR) is a simple, efficient and widely used encryption mode using a block cipher. It comes with a security proof that guarantees no attacks up to the birthday bound (i.e. as long as the number of encrypted blocks σ satisfies σ 2n=2), and a matching attack that can distinguish plaintext/ciphertext pairs from random using about 2n=2 blocks of data. The main goal of this paper is to study attacks against the counter mode beyond this simple distinguisher. We focus on message recovery attacks, with realistic assumptions about the capabilities of an adversary, and evaluate the full time complexity of the attacks rather than just the query complexity. Our main result is an attack to recover a block of message with complexity O~(2n=2). This shows that the actual security of CTR is similar to that of CBC, where collision attacks are well known to reveal information about the message. To achieve this result, we study a simple algorithmic problem related to the security of the CTR mode: the missing difference problem. We give efficient algorithms for this problem in two practically relevant cases: where the missing difference is known to be in some linear subspace, and when the amount of data is higher than strictly required. As a further application, we show that the second algorithm can also be used to break some polynomial MACs such as GMAC and Poly1305, with a universal forgery attack with complexity O~(22n=3). -
Chapter 2 the Data Encryption Standard (DES)
Chapter 2 The Data Encryption Standard (DES) As mentioned earlier there are two main types of cryptography in use today - symmet- ric or secret key cryptography and asymmetric or public key cryptography. Symmet- ric key cryptography is the oldest type whereas asymmetric cryptography is only being used publicly since the late 1970’s1. Asymmetric cryptography was a major milestone in the search for a perfect encryption scheme. Secret key cryptography goes back to at least Egyptian times and is of concern here. It involves the use of only one key which is used for both encryption and decryption (hence the use of the term symmetric). Figure 2.1 depicts this idea. It is necessary for security purposes that the secret key never be revealed. Secret Key (K) Secret Key (K) ? ? - - - - Plaintext (P ) E{P,K} Ciphertext (C) D{C,K} Plaintext (P ) Figure 2.1: Secret key encryption. To accomplish encryption, most secret key algorithms use two main techniques known as substitution and permutation. Substitution is simply a mapping of one value to another whereas permutation is a reordering of the bit positions for each of the inputs. These techniques are used a number of times in iterations called rounds. Generally, the more rounds there are, the more secure the algorithm. A non-linearity is also introduced into the encryption so that decryption will be computationally infeasible2 without the secret key. This is achieved with the use of S-boxes which are basically non-linear substitution tables where either the output is smaller than the input or vice versa. 1It is claimed by some that government agencies knew about asymmetric cryptography before this. -
Thesis Submitted for the Degree of Doctor of Philosophy
Optimizations in Algebraic and Differential Cryptanalysis Theodosis Mourouzis Department of Computer Science University College London A thesis submitted for the degree of Doctor of Philosophy January 2015 Title of the Thesis: Optimizations in Algebraic and Differential Cryptanalysis Ph.D. student: Theodosis Mourouzis Department of Computer Science University College London Address: Gower Street, London, WC1E 6BT E-mail: [email protected] Supervisors: Nicolas T. Courtois Department of Computer Science University College London Address: Gower Street, London, WC1E 6BT E-mail: [email protected] Committee Members: 1. Reviewer 1: Professor Kenny Paterson 2. Reviewer 2: Dr Christophe Petit Day of the Defense: Signature from head of PhD committee: ii Declaration I herewith declare that I have produced this paper without the prohibited assistance of third parties and without making use of aids other than those specified; notions taken over directly or indirectly from other sources have been identified as such. This paper has not previously been presented in identical or similar form to any other English or foreign examination board. The following thesis work was written by Theodosis Mourouzis under the supervision of Dr Nicolas T. Courtois at University College London. Signature from the author: Abstract In this thesis, we study how to enhance current cryptanalytic techniques, especially in Differential Cryptanalysis (DC) and to some degree in Al- gebraic Cryptanalysis (AC), by considering and solving some underlying optimization problems based on the general structure of the algorithm. In the first part, we study techniques for optimizing arbitrary algebraic computations in the general non-commutative setting with respect to sev- eral metrics [42, 44]. -
Linear-XOR and Additive Checksums Don't Protect Damgård-Merkle
Linear-XOR and Additive Checksums Don’t Protect Damg˚ard-Merkle Hashes from Generic Attacks Praveen Gauravaram1! and John Kelsey2 1 Technical University of Denmark (DTU), Denmark Queensland University of Technology (QUT), Australia. [email protected] 2 National Institute of Standards and Technology (NIST), USA [email protected] Abstract. We consider the security of Damg˚ard-Merkle variants which compute linear-XOR or additive checksums over message blocks, inter- mediate hash values, or both, and process these checksums in computing the final hash value. We show that these Damg˚ard-Merkle variants gain almost no security against generic attacks such as the long-message sec- ond preimage attacks of [10,21] and the herding attack of [9]. 1 Introduction The Damg˚ard-Merkle construction [3, 14] (DM construction in the rest of this article) provides a blueprint for building a cryptographic hash function, given a fixed-length input compression function; this blueprint is followed for nearly all widely-used hash functions. However, the past few years have seen two kinds of surprising results on hash functions, that have led to a flurry of research: 1. Generic attacks apply to the DM construction directly, and make few or no assumptions about the compression function. These attacks involve attacking a t-bit hash function with more than 2t/2 work, in order to violate some property other than collision resistance. Exam- ples of generic attacks are Joux multicollision [8], long-message second preimage attacks [10,21] and herding attack [9]. 2. Cryptanalytic attacks apply to the compression function of the hash function. -
Chap 2. Basic Encryption and Decryption
Chap 2. Basic Encryption and Decryption H. Lee Kwang Department of Electrical Engineering & Computer Science, KAIST Objectives • Concepts of encryption • Cryptanalysis: how encryption systems are “broken” 2.1 Terminology and Background • Notations – S: sender – R: receiver – T: transmission medium – O: outsider, interceptor, intruder, attacker, or, adversary • S wants to send a message to R – S entrusts the message to T who will deliver it to R – Possible actions of O • block(interrupt), intercept, modify, fabricate • Chapter 1 2.1.1 Terminology • Encryption and Decryption – encryption: a process of encoding a message so that its meaning is not obvious – decryption: the reverse process • encode(encipher) vs. decode(decipher) – encoding: the process of translating entire words or phrases to other words or phrases – enciphering: translating letters or symbols individually – encryption: the group term that covers both encoding and enciphering 2.1.1 Terminology • Plaintext vs. Ciphertext – P(plaintext): the original form of a message – C(ciphertext): the encrypted form • Basic operations – plaintext to ciphertext: encryption: C = E(P) – ciphertext to plaintext: decryption: P = D(C) – requirement: P = D(E(P)) 2.1.1 Terminology • Encryption with key If the encryption algorithm should fall into the interceptor’s – encryption key: KE – decryption key: K hands, future messages can still D be kept secret because the – C = E(K , P) E interceptor will not know the – P = D(KD, E(KE, P)) key value • Keyless Cipher – a cipher that does not require the -
CRYPTANALYSIS of GOST in the MULTIPLE-KEY SCENARIO 1. The
Ø Ñ ÅØÑØÐ ÈÙ ÐØÓÒ× DOI: 10.2478/tmmp-2013-0035 Tatra Mt. Math. Publ. 57 (2013), 45–63 CRYPTANALYSIS OF GOST IN THE MULTIPLE-KEY SCENARIO Nicolas T. Courtois ABSTRACT. GOST 28147-89 is a well-known 256-bit block cipher. In 2010 GOST was submitted to ISO, to become an international standard. Then many academic attacks which allow to break full GOST faster than brute force have been found. The fastest known single-key attack on GOST for 264 of data is 2179 of [Courtois, N.: An improved differential attack on full GOST, Cryptol- ogy ePrint Archive, Report 2012/138, http://eprint.iacr.org/2012/138]and for 232 of data it is 2191 of [Courtois, N.: Algebraic complexity reduction and cryptanalysis of GOST, Preprint, 2010–13, http://eprint.iacr.org/2011/626]. Other results are slower but require significantly less memory [Courtois, N.: Al- gebraic complexity reduction and cryptanalysis of GOST, Preprint, 2010–2013, http://eprint.iacr.org/2011/626], [Dinur, I.—Dunkelman, O.—Shamir, A.: Improved attacks on full GOST, in: Fast Software Encryption—FSE ’12, 19th Internat. Workshop, Washington, USA, 2012, Lecture Notes in Comput. Sci., Vol. 7549, Springer, Berlin, 2012, pp. 9–28, http://eprint.iacr.org/2011/558/]. The common stereotype is that these will be “the best” attacks on GOST. However, ciphers are not used in practice with single keys, on the contrary. In this paper we intend to show that there exist attacks on GOST which are more versatile and even somewhat more “practical” than the best single key attack. We argument that multiple random key attacks not single key attacks, are more practical and more likely to be executed in the real life. -
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. -
On Hash Functions Using Checksums
Downloaded from orbit.dtu.dk on: Sep 27, 2021 On hash functions using checksums Gauravaram, Praveen; Kelsey, John; Knudsen, Lars Ramkilde; Thomsen, Søren Steffen Publication date: 2008 Document Version Early version, also known as pre-print Link back to DTU Orbit Citation (APA): Gauravaram, P., Kelsey, J., Knudsen, L. R., & Thomsen, S. S. (2008). On hash functions using checksums. MAT report No. 2008-06 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. On hash functions using checksums ⋆ Praveen Gauravaram1⋆⋆, John Kelsey2, Lars Knudsen1, and Søren Thomsen1⋆ ⋆ ⋆ 1 DTU Mathematics, Technical University of Denmark, Denmark [email protected],[email protected],[email protected] 2 National Institute of Standards and Technology (NIST), USA [email protected] Abstract. We analyse the security of iterated hash functions that compute an input dependent check- sum which is processed as part of the hash computation.