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SHA-3 Update
SHA+3%update% %% % Quynh%Dang% Computer%Security%Division% ITL,%NIST% IETF%86% SHA-3 Competition 11/2/2007% SHA+3%CompeDDon%Began.% 10/2/2012% Keccak&announced&as&the&SHA13&winner.& IETF%86% Secure Hash Algorithms Outlook ► SHA-2 looks strong. ► We expect Keccak (SHA-3) to co-exist with SHA-2. ► Keccak complements SHA-2 in many ways. Keccak is good in different environments. Keccak is a sponge - a different design concept from SHA-2. IETF%86% Sponge Construction Sponge capacity corresponds to a security level: s = c/2. IETF%86% SHA-3 Selection ► We chose Keccak as the winner because of many different reasons and below are some of them: ► It has a high security margin. ► It received good amount of high-quality analyses. ► It has excellent hardware performance. ► It has good overall performance. ► It is very different from SHA-2. ► It provides a lot of flexibility. IETF%86% Keccak Features ► Keccak supports the same hash-output sizes as SHA-2 (i.e., SHA-224, -256, -384, -512). ► Keccak works fine with existing applications, such as DRBGs, KDFs, HMAC and digital signatures. ► Keccak offers flexibility in performance/security tradeoffs. ► Keccak supports tree hashing. ► Keccak supports variable-length output. IETF%86% Under Consideration for SHA-3 ► Support for variable-length hashes ► Considering options: ► One capacity: c = 512, with output size encoding, ► Two capacities: c = 256 and c = 512, with output size encoding, or ► Four capacities: c = 224, c = 256, c=384, and c = 512 without output size encoding (preferred by the Keccak team). ► Input format for SHA-3 hash function(s) will contain a padding scheme to support tree hashing in the future. -
Lecture9.Pdf
Merkle- Suppose H is a Damgaord hash function built from a secure compression function : several to build a function ways keyed : m : = H Ilm 1 . end FCK ) (k ) Prep key , " " ↳ - Insecure due to structure of Merkle : can mount an extension attack: H (KH m) can Barnyard given , compute ' Hlkllmllm ) by extending Merkle- Danged chain = : m : 2 . FCK ) 11k) Append key , Hlm ↳ - - to : Similar to hash then MAC construction and vulnerable same offline attack adversary finds a collision in the - - > Merkle and uses that to construct a for SHA I used PDF files Barnyard prefix forgery f , they ↳ - Structure in SHA I (can matches exploited collision demonstration generate arbitrary collisions once prefix ) ' = : FCK m - H on h 3. method , ) ( K HMH K) for reasonable randomness ( both Envelope pseudo assumptions e.g , : = - = i - - : F ( m m } : h K m h m k 4. nest ( ki ) H Ck H (k m ( , and m ( ) is a PRF both Two , kz , ) (ka HH , )) F- , ) ) Falk , ) , ) key , - of these constructions are secure PRFS on a variable size domain hash- based MAC ✓ a the - nest with correlated : HMAC is PRF / MAC based on two key (though keys) : = m H H ka m HMACCK ( K H ( , )) , ) , where k ← k ④ and kz ← k to , ipad opad and and are fixed ( in the HMAC standard) ipad opad strings specified I 0×36 repeated %x5C repeated : k . a Since , and ka are correlated need to make on h remains under Sety , stronger assumption security leg , pseudorandom related attack) Instantiations : denoted HMAC- H where H is the hash function Typically , HMAC- SHAI %" - - HMAC SHA256 -
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 ......................... -
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. -
Speeding up OMD Instantiations in Hardware
Speeding Up OMD Instantiations in Hardware Diana Maimuţ1[0000−0002−9541−5705] and Alexandru Ştefan Mega1,2[0000−0002−9541−1114] 1 Advanced Technologies Institute 10 Dinu Vintilă, Bucharest, Romania {diana.maimut,ati}@dcti.ro 2 Politehnica University of Bucharest Bucharest, Romania [email protected] Abstract. Particular instantiations of the Offset Merkle Damgård au- thenticated encryption scheme (OMD) represent highly secure alterna- tives for AES-GCM. It is already a fact that OMD can be efficiently implemented in software. Given this, in our paper we focus on speeding- up OMD in hardware, more precisely on FPGA platforms. Thus, we propose a new OMD instantiation based on the compression function of BLAKE2b. Moreover, to the best of our knowledge, we present the first FPGA implementation results for the SHA-512 instantiation of OMD as well as the first architecture of an online authenticated encryption system based on OMD. Keywords: Authenticated encryption, pseudorandom function, compression function, provable security, FPGA, hardware optimization, nonce respecting ad- versaries. 1 Introduction Authenticated encryption (AE) primitives ensure both message confidentiality and authenticity. Initially, AE algorithms achieved confidentiality and integrity by combining two distinct cryptographic primitives (one for each of the two goals). Around two decades ago the perspective of having a unique primitive for confidentiality and integrity started to appear. Rogaway [16] extended AE schemes by adding a new type of input for associated data (AD) and, thus, AEAD (authenticated encryption with associated data) was the next step. Such a model is helpful in real world scenario in which part of the message (e.g. a header) needs only to be authenticated. -
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 -
Hashes, Macs & Authenticated Encryption Today's Lecture Hashes
Today’s Lecture • Hashes and Message Authentication Codes Hashes, MACs & • Properties of Hashes and MACs Authenticated Encryption • CBC-MAC, MAC -> HASH (slow), • SHA1, SHA2, SHA3 Tom Chothia • HASH -> MAC, HMAC ICS Lecture 4 • Authenticated Encryption – CCM Hashes Signatures l A hash of any message is a short string • Using RSA Epub(Dpriv(M)) = M generated from that message. • This can be used to sign messages. l The hash of a message is always the same. l Any small change makes the hash totally • Sign a message with the private key and this can be different. verified with the public key. l It is very hard to go from the hash to the message. • Any real crypto suite will not use the same key for encryption and signing. l It is very unlikely that any two different messages have the same hash. – as this can be used to trick people into decrypting. Signatures Uses of Hashing Alice has a signing key Ks • Download/Message verification and wants to sign message M Plain Text • Tying parts of a message together (hash the whole message) Detached Signature: Dks(#(M)) RSA decrypt with key ks SHA hash • Hash message, then sign the hash. • Protect Passwords Signed: M,Dks(#(M)) – Store the hash, not the password 1 Attacks on hashes Birthday Paradox • Preimage Attack: Find a message for a • How many people do you need to ask given hash: very hard. before you find 2 that have the same birthday? • Prefix Collision Attack: a collision attack where the attacker can pick a prefix for • 23 people, gives (23*22)/2 = 253 pairs. -
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. -
Chapter 4 Symmetric Encryption
Chapter 4 Symmetric Encryption The symmetric setting considers two parties who share a key and will use this key to imbue communicated data with various security attributes. The main security goals are privacy and authenticity of the communicated data. The present chapter looks at privacy, Chapter ?? looks at authenticity, and Chapter ?? looks at providing both together. Chapters ?? and ?? describe tools we shall use here. 4.1 Symmetric encryption schemes The primitive we will consider is called an encryption scheme. Such a scheme speci¯es an encryption algorithm, which tells the sender how to process the plaintext using the key, thereby producing the ciphertext that is actually transmitted. An encryption scheme also speci¯es a decryption algorithm, which tells the receiver how to retrieve the original plaintext from the transmission while possibly performing some veri¯cation, too. Finally, there is a key-generation algorithm, which produces a key that the parties need to share. The formal description follows. De¯nition 4.1 A symmetric encryption scheme SE = (K; E; D) consists of three algorithms, as follows: ² The randomized key generation algorithm K returns a string K. We let Keys(SE) denote the set of all strings that have non-zero probability of be- ing output by K. The members of this set are called keys. We write K Ã$ K for the operation of executing K and letting K denote the key returned. ² The encryption algorithm E takes a key K 2 Keys(SE) and a plaintext M 2 f0; 1g¤ to return a ciphertext C 2 f0; 1g¤ [ f?g. -
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. -
Message Authentication Codes
MessageMessage AuthenticationAuthentication CodesCodes Was this message altered? Did he really send this? Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 [email protected] Audio/Video recordings of this lecture are available at: http://www.cse.wustl.edu/~jain/cse571-11/ Washington University in St. Louis CSE571S ©2011 Raj Jain 12-1 OverviewOverview 1. Message Authentication 2. MACS based on Hash Functions: HMAC 3. MACs based on Block Ciphers: DAA and CMAC 4. Authenticated Encryption: CCM and GCM 5. Pseudorandom Number Generation Using Hash Functions and MACs These slides are based partly on Lawrie Brown’s slides supplied with William Stallings’s book “Cryptography and Network Security: Principles and Practice,” 5th Ed, 2011. Washington University in St. Louis CSE571S ©2011 Raj Jain 12-2 MessageMessage SecuritySecurity RequirementsRequirements Disclosure Traffic analysis Masquerade Content modification Sequence modification Timing modification Source repudiation Destination repudiation Message Authentication = Integrity + Source Authentication Washington University in St. Louis CSE571S ©2011 Raj Jain 12-3 PublicPublic--KeyKey AuthenticationAuthentication andand SecrecySecrecy A B’s Public A’s PrivateMessage B A Key Key B Double public key encryption provides authentication and integrity. Double public key Very compute intensive Crypto checksum (MAC) is better. Based on a secret key and the message. Can also encrypt with the same or different key. Washington University in St. Louis CSE571S ©2011 Raj Jain 12-4 MACMAC PropertiesProperties A MAC is a cryptographic checksum MAC = CK(M) Condenses a variable-length message M using a secret key To a fixed-sized authenticator Is a many-to-one function Potentially many messages have same MAC But finding these needs to be very difficult Properties: 1.