Message Authentication Codes
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IMPLEMENTATION and BENCHMARKING of PADDING UNITS and HMAC for SHA-3 CANDIDATES in FPGAS and ASICS by Ambarish Vyas a Thesis Subm
IMPLEMENTATION AND BENCHMARKING OF PADDING UNITS AND HMAC FOR SHA-3 CANDIDATES IN FPGAS AND ASICS by Ambarish Vyas A Thesis Submitted to the Graduate Faculty of George Mason University in Partial Fulfillment of The Requirements for the Degree of Master of Science Computer Engineering Committee: Dr. Kris Gaj, Thesis Director Dr. Jens-Peter Kaps. Committee Member Dr. Bernd-Peter Paris. Committee Member Dr. Andre Manitius, Department Chair of Electrical and Computer Engineering Dr. Lloyd J. Griffiths. Dean, Volgenau School of Engineering Date: ---J d. / q /9- 0 II Fall Semester 2011 George Mason University Fairfax, VA Implementation and Benchmarking of Padding Units and HMAC for SHA-3 Candidates in FPGAs and ASICs A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at George Mason University By Ambarish Vyas Bachelor of Science University of Pune, 2009 Director: Dr. Kris Gaj, Associate Professor Department of Electrical and Computer Engineering Fall Semester 2011 George Mason University Fairfax, VA Copyright c 2011 by Ambarish Vyas All Rights Reserved ii Acknowledgments I would like to use this oppurtunity to thank the people who have supported me throughout my thesis. First and foremost my advisor Dr.Kris Gaj, without his zeal, his motivation, his patience, his confidence in me, his humility, his diverse knowledge, and his great efforts this thesis wouldn't be possible. It is difficult to exaggerate my gratitude towards him. I also thank Ekawat Homsirikamol for his contributions to this project. He has significantly contributed to the designs and implementations of the architectures. Additionally, I am indebted to my student colleagues in CERG for providing a fun environment to learn and giving invaluable tips and support. -
The Order of Encryption and Authentication for Protecting Communications (Or: How Secure Is SSL?)?
The Order of Encryption and Authentication for Protecting Communications (Or: How Secure is SSL?)? Hugo Krawczyk?? Abstract. We study the question of how to generically compose sym- metric encryption and authentication when building \secure channels" for the protection of communications over insecure networks. We show that any secure channels protocol designed to work with any combina- tion of secure encryption (against chosen plaintext attacks) and secure MAC must use the encrypt-then-authenticate method. We demonstrate this by showing that the other common methods of composing encryp- tion and authentication, including the authenticate-then-encrypt method used in SSL, are not generically secure. We show an example of an en- cryption function that provides (Shannon's) perfect secrecy but when combined with any MAC function under the authenticate-then-encrypt method yields a totally insecure protocol (for example, ¯nding passwords or credit card numbers transmitted under the protection of such protocol becomes an easy task for an active attacker). The same applies to the encrypt-and-authenticate method used in SSH. On the positive side we show that the authenticate-then-encrypt method is secure if the encryption method in use is either CBC mode (with an underlying secure block cipher) or a stream cipher (that xor the data with a random or pseudorandom pad). Thus, while we show the generic security of SSL to be broken, the current practical implementations of the protocol that use the above modes of encryption are safe. 1 Introduction The most widespread application of cryptography in the Internet these days is for implementing a secure channel between two end points and then exchanging information over that channel. -
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 -
Authenticated Key-Exchange: Protocols, Attacks, and Analyses
The HMAC construction: A decade later Ran Canetti IBM Research What is HMAC? ● HMAC: A Message Authentication Code based on Cryptographic Hash functions [Bellare-C-Krawczyk96]. ● Developed for the IPSec standard of the Internet Engineering Task Force (IETF). ● Currently: - incorporated in IPSec, SSL/TLS, SSH, Kerberos, SHTTP, HTTPS, SRTP, MSEC, ... - ANSI and NIST standards - Used daily by all of us. Why is HMAC interesting? ● “Theoretical” security analysis impacts the security of real systems. ● Demonstrates the importance of modelling and abstraction in practical cryptography. ● The recent attacks on hash functions highlight the properties of the HMAC design and analysis. ● Use the HMAC lesson to propose requirements for the next cryptographic hash function. Organization ● Authentication, MACs, Hash-based MACs ● HMAC construction and analysis ● Other uses of HMAC: ● Pseudo-Random Functions ● Extractors ● What properties do we want from a “cryptographic hash function”? Authentication m m' A B The goal: Any tampering with messages should be detected. “If B accepts message m from A then A has sent m to B.” • One of the most basic cryptographic tasks • The basis for any security-conscious interaction over an open network Elements of authentication The structure of typical cryptographic solutions: • Initial entity authentication: The parties perform an initial exchange, bootstrapping from initial trusted information on each other. The result is a secret key that binds the parties to each other. • Message authentication: The parties use the key to authenticate exchanged messages via message authentication codes. Message Authentication Codes m,t m',t' A B t=FK(m) t' =? FK(m') • A and B obtain a common secret key K • A and B agree on a keyed function F • A sends t=FK(m) together with m • B gets (m',t') and accepts m' if t'=FK(m'). -
MD5 Collisions the Effect on Computer Forensics April 2006
Paper MD5 Collisions The Effect on Computer Forensics April 2006 ACCESS DATA , ON YOUR RADAR MD5 Collisions: The Impact on Computer Forensics Hash functions are one of the basic building blocks of modern cryptography. They are used for everything from password verification to digital signatures. A hash function has three fundamental properties: • It must be able to easily convert digital information (i.e. a message) into a fixed length hash value. • It must be computationally impossible to derive any information about the input message from just the hash. • It must be computationally impossible to find two files to have the same hash. A collision is when you find two files to have the same hash. The research published by Wang, Feng, Lai and Yu demonstrated that MD5 fails this third requirement since they were able to generate two different messages that have the same hash. In computer forensics hash functions are important because they provide a means of identifying and classifying electronic evidence. Because hash functions play a critical role in evidence authentication, a judge and jury must be able trust the hash values to uniquely identify electronic evidence. A hash function is unreliable when you can find any two messages that have the same hash. Birthday Paradox The easiest method explaining a hash collision is through what is frequently referred to as the Birthday Paradox. How many people one the street would you have to ask before there is greater than 50% probability that one of those people will share your birthday (same day not the same year)? The answer is 183 (i.e. -
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 -
BLAKE2: Simpler, Smaller, Fast As MD5
BLAKE2: simpler, smaller, fast as MD5 Jean-Philippe Aumasson1, Samuel Neves2, Zooko Wilcox-O'Hearn3, and Christian Winnerlein4 1 Kudelski Security, Switzerland [email protected] 2 University of Coimbra, Portugal [email protected] 3 Least Authority Enterprises, USA [email protected] 4 Ludwig Maximilian University of Munich, Germany [email protected] Abstract. We present the hash function BLAKE2, an improved version of the SHA-3 finalist BLAKE optimized for speed in software. Target applications include cloud storage, intrusion detection, or version control systems. BLAKE2 comes in two main flavors: BLAKE2b is optimized for 64-bit platforms, and BLAKE2s for smaller architectures. On 64- bit platforms, BLAKE2 is often faster than MD5, yet provides security similar to that of SHA-3: up to 256-bit collision resistance, immunity to length extension, indifferentiability from a random oracle, etc. We specify parallel versions BLAKE2bp and BLAKE2sp that are up to 4 and 8 times faster, by taking advantage of SIMD and/or multiple cores. BLAKE2 reduces the RAM requirements of BLAKE down to 168 bytes, making it smaller than any of the five SHA-3 finalists, and 32% smaller than BLAKE. Finally, BLAKE2 provides a comprehensive support for tree-hashing as well as keyed hashing (be it in sequential or tree mode). 1 Introduction The SHA-3 Competition succeeded in selecting a hash function that comple- ments SHA-2 and is much faster than SHA-2 in hardware [1]. There is nev- ertheless a demand for fast software hashing for applications such as integrity checking and deduplication in filesystems and cloud storage, host-based intrusion detection, version control systems, or secure boot schemes. -
Hello, and Welcome to This Presentation of the STM32 Hash Processor
Hello, and welcome to this presentation of the STM32 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 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. 3 All supported hash functions work on 512-bit blocks of data. The input message is split as many times as needed to feed the hash processor. Subsequent blocks are computed sequentially. MD5 is the less robust function with only a 128-bit digest. The SHA standard has two versions SHA-1 and the more recent SHA-2 with its 224- and 256-bit digest length versions. 4 The hash-based message authentication code (HMAC) is used to authenticate messages and verify their integrity. The HMAC function consists of two nested Hash function with a secrete key that is shared by the sender and the receiver. -
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. -
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. -
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.