Message Authentication on 64-Bit Architectures
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The Software Performance of Authenticated-Encryption Modes 1
An earlier version of this paper appears at Fast Software Encryption 2011 (FSE 2011). The Software Performance of Authenticated-Encryption Modes Ted Krovetz∗ Phillip Rogawayy March 21, 2011 Abstract We study the software performance of authenticated-encryption modes CCM, GCM, and OCB. Across a variety of platforms, we find OCB to be substantially faster than either alternative. For example, on an Intel i5 (\Clarkdale") processor, good implementations of CCM, GCM, and OCB encrypt at around 4.2 cpb, 3.7 cpb, and 1.5 cpb, while CTR mode requires about 1.3 cpb. Still we find room for algorithmic improvements to OCB, showing how to trim one blockcipher call (most of the time, assuming a counter-based nonce) and reduce latency. Our findings contrast with those of McGrew and Viega (2004), who claimed similar performance for GCM and OCB. Key words: authenticated encryption, cryptographic standards, encryption speed, modes of operation, CCM, GCM, OCB. 1 Introduction Background. Over the past few years, considerable effort has been spent constructing schemes for authenticated encryption (AE). One reason is recognition of the fact that a scheme that delivers both privacy and authenticity may be more efficient than the straightforward amalgamation of separate privacy and authenticity techniques. A second reason is the realization that an AE scheme is less likely to be incorrectly used than an encryption scheme designed for privacy alone. While other possibilities exist, it is natural to build AE schemes from blockciphers, employing some mode of operation. There are two approaches. In a composed (\two-pass") AE scheme one conjoins essentially separate privacy and authenticity modes. -
Key-Recovery Attacks on Universal Hash Function Based MAC Algorithms
Key-Recovery Attacks on Universal Hash Function Based MAC Algorithms Helena Handschuh1 and Bart Preneel2,3 1 Spansion, 105 rue Anatole France 92684 Levallois-Perret Cedex, France [email protected] 2 Katholieke Universiteit Leuven, Dept. Electrical Engineering-ESAT/COSIC, Kasteelpark Arenberg 10, bus 2446, B-3001 Leuven, Belgium [email protected] 3 IBBT, Van Crommenlaan, B-9000 Gent Abstract. This paper discusses key recovery and universal forgery at- tacks on several MAC algorithms based on universal hash functions. The attacks use a substantial number of verification queries but eventually allow for universal forgeries instead of existential or multiple forgeries. This means that the security of the algorithms completely collapses once a few forgeries are found. Some of these attacks start off by exploiting a weak key property, but turn out to become full-fledged divide and conquer attacks because of the specific structure of the universal hash functions considered. Partial information on a secret key can be exploited too, in the sense that it renders some key recovery attacks practical as soon as a few key bits are known. These results show that while universal hash functions offer provable security, high speeds and parallelism, their simple combinatorial properties make them less robust than conventional message authentication primitives. 1 Introduction Message Authentication Code (MAC) algorithms are symmetric cryptographic primitives that allow senders and receivers who share a common secret key to make sure the contents of a transmitted message has not been tampered with. Three main types of constructions for MAC algorithms can be found in the literature: constructions based on block ciphers, based on hash functions and based on universal hash functions. -
CS 473: Algorithms, Fall 2019
CS 473: Algorithms, Fall 2019 Universal and Perfect Hashing Lecture 10 September 26, 2019 Chandra and Michael (UIUC) cs473 1 Fall 2019 1 / 45 Today's lecture: Review pairwise independence and related constructions (Strongly) Universal hashing Perfect hashing Announcements and Overview Pset 4 released and due on Thursday, October 3 at 10am. Note one day extension over usual deadline. Midterm 1 is on Monday, Oct 7th from 7-9.30pm. More details and conflict exam information will be posted on Piazza. Next pset will be released after the midterm exam. Chandra and Michael (UIUC) cs473 2 Fall 2019 2 / 45 Announcements and Overview Pset 4 released and due on Thursday, October 3 at 10am. Note one day extension over usual deadline. Midterm 1 is on Monday, Oct 7th from 7-9.30pm. More details and conflict exam information will be posted on Piazza. Next pset will be released after the midterm exam. Today's lecture: Review pairwise independence and related constructions (Strongly) Universal hashing Perfect hashing Chandra and Michael (UIUC) cs473 2 Fall 2019 2 / 45 Part I Review Chandra and Michael (UIUC) cs473 3 Fall 2019 3 / 45 Pairwise independent random variables Definition Random variables X1; X2;:::; Xn from a range B are pairwise independent if for all 1 ≤ i < j ≤ n and for all b; b0 2 B, 0 0 Pr[Xi = b; Xj = b ] = Pr[Xi = b] · Pr[Xj = b ] : Chandra and Michael (UIUC) cs473 4 Fall 2019 4 / 45 Interesting case: n = m = p where p is a prime number Pick a; b uniformly at random from f0; 1; 2;:::; p − 1g Set Xi = ai + b Only need to store a; b. -
Patent-Free Authenticated-Encryption As Fast As OCB
Patent-Free Authenticated-Encryption As Fast As OCB Ted Krovetz Computer Science Department California State University Sacramento, California, 95819 USA [email protected] Abstract—This paper presents an efficient authenticated encryp- VHASH hash family [4]. The resulting authenticated encryp- tion construction based on a universal hash function and block tion scheme peaks at 12.8 cpb, while OCB peaks at 13.9 cpb in cipher. Encryption is achieved via counter-mode while authenti- our experiments. The paper closes with a performance com- cation uses the Wegman-Carter paradigm. A single block-cipher parison of several well-known authenticated encryption algo- key is used for both operations. The construction is instantiated rithms [6]. using the hash functions of UMAC and VMAC, resulting in authenticated encryption with peak performance about ten per- cent slower than encryption alone. II. SECURITY DEFINITIONS We adopt the notions of security from [7], and summarize Keywords- Authenticated encryption, block-cipher mode-of- them less formally here. An authenticated encryption with as- operation, AEAD, UMAC, VMAC. sociated data (AEAD) scheme is a triple S = (K,E,D), where K is a set of keys, and E and D are encryption and decryption I. INTRODUCTION functions. Encryption occurs by computing E(k,n,h,p,f), which Traditionally when one wanted to both encrypt and authen- returns (c,t), for key k, nonce n, header h, plaintext m and ticate communications, one would encrypt the message under footer f. Ciphertext c is the encryption of p, and tag t authenti- one key and authenticate the resulting ciphertext under a sepa- cates h, c and f. -
Symmetric Key Cryptography PQCRYPTO Summer School on Post-Quantum Cryptography 2017
Symmetric Key Cryptography PQCRYPTO Summer School on Post-Quantum Cryptography 2017 Stefan Kölbl June 20th, 2017 DTU Compute, Technical University of Denmark Introduction to Symmetric Key Cryptography Symmetric Key Cryptography What can we do? • Encryption • Authentication (MAC) • Hashing • Random Number Generation • Digital Signature Schemes • Key Exchange 1 Authentication Authentication Message Authentication Code (MAC) Key Message MAC Tag • Produces a tag • Provide both authenticity and integrity • It should be hard to forge a valid tag. • Similar to hash but has a key • Similar to digital signature but same key 2 Authentication MAC Algorithm • Block Cipher Based (CBC-MAC) • Hash-based (HMAC, Sponge) • Universal Hashing (UMAC, Poly1305) 3 Authentication CBC-MAC M1 M2 Mi 0 EK EK EK T 4 Authentication Hash-based: • H(k jj m) • Okay with Sponge, fails with MD construction. • H(m jj k) • Collision on H allows to construct Tag collision. • HMAC: H(k ⊕ c1kj H(k ⊕ c2jjm)) 5 Authentication Universal Hashing (UMAC, Poly1305, …) • We need a universal hash function family H. • Parties share a secret member of H and key k. • Attacker does not know which one was chosen. Definition A set H of hash functions h : U ! N is universal iff 8x; y 2 U: 1 Pr (h(x) = h(y)) ≤ h2H jNj when h is chosen uniformly at random. 6 Authenticated Encryption In practice we always want Authenticated Encryption • Encryption does not protect against malicious alterations. • WEP [TWP07] • Plaintext recovery OpenSSH [APW09] • Recover TLS cookies [DR11] Problem Lot of things can go wrong when combining encryption and authentication. Note: This can allow to recover plaintext, forge messages.. -
Reducing the Impact of Dos Attacks on Endpoint IP Security
Reducing the Impact of DoS Attacks on Endpoint IP Security Joseph D. Touch and Yi-Hua Edward Yang USC/ISI [email protected] / [email protected] 1 Abstract some attack traffic. These results also indicate that this technique becomes more effective as the algorithm IP security is designed to protect hosts from attack, becomes more computationally intensive, and suggest but can itself provide a way to overwhelm the that such hierarchical intra-packet defenses are needed resources of a host. One such denial of service (DoS) to avoid IPsec being itself an opportunity for attack. attack involves sending incorrectly signed packets to a host, which then consumes substantial CPU resources 2. Background to reject unwanted traffic. This paper quantifies the impact of such attacks and explores preliminary ways Performance has been a significant issue for to reduce that impact. Measurements of the impact of Internet security since its inception and affects the DoS attack traffic on PC hosts indicate that a single IPsec suite both at the IKE (session establishment) and attacker can reduce throughput by 50%. This impact IPsec (packets in a session) level [10][11]. This paper can be reduced to 20% by layering low-effort nonce focuses on the IPsec level, i.e., protection for validation on IPsec’s CPU-intensive cryptographic established sessions. Previous performance analysis of algorithms, but the choice of algorithm does not have HMAC-MD5 (Hashed-MAC, where MAC means as large an effect. This work suggests that effective keyed Message Authentication Code), HMAC-SHA1, DoS resistance requires a hierarchical defense using and 3DES showed that the cost of the cryptographic both nonces and strong cryptography at the endpoints, algorithms dwarfs other IPsec overheads [6] [7] [15]. -
Implementation of Hash Function for Cryptography (Rsa Security)
International Journal For Technological Research In Engineering Volume 4, Issue 6, February-2017 ISSN (Online): 2347 - 4718 IMPLEMENTATION OF HASH FUNCTION FOR CRYPTOGRAPHY (RSA SECURITY) Syed Fateh Reza1, Mr. Prasun Das2 1M.Tech. (ECE), 2Assistant Professor (ECE), Bitm,Bolpur ABSTRACT: In this thesis, a new method for expected to have a unique hash code and it should be implementing cryptographic hash functions is proposed. generally difficult for an attacker to find two messages with This method seeks to improve the speed of the hash the same hash code. function particularly when a large set of messages with Mathematically, a hash function (H) is defined as follows: similar blocks such as documents with common Headers H: {0, 1}* → {0, 1}n are to be hashed. The method utilizes the peculiar run-time In this notation, {0, 1}* refers to the set of binary elements configurability Feature of FPGA. Essentially, when a block of any length including the empty string while {0, 1}n refers of message that is commonly hashed is identified, the hash to the set of binary elements of length n. Thus, the hash value is stored in memory so that in subsequent occurrences function maps a set of binary elements of arbitrary length to of The message block, the hash value does not need to be a set of binary elements of fixed length. Similarly, the recomputed; rather it is Simply retrieved from memory, thus properties of a hash function are defined as follows: giving a significant increase in speed. The System is self- x {0, 1}*; y {0,1}n learning and able to dynamically build on its knowledge of Pre-image resistance: given y= H(x), it should be difficult to frequently Occurring message blocks without intervention find x. -
Authenticated Ciphers D. J. Bernstein University of Illinois at Chicago
Authenticated ciphers D. J. Bernstein University of Illinois at Chicago Joint work with: Tanja Lange Technische Universiteit Eindhoven Advertisement: SHARCS 2012 (Special-Purpose Hardware for Attacking Cryptographic Systems) is right before FSE+SHA-3. 2012.01.23 deadline to submit extended abstracts. 2012.sharcs.org Multiple-year SHA-3 competition has produced a natural focus for security analysis and performance analysis. Community shares an interest in selecting best hash as SHA-3. Intensive analysis of candidates: hash conferences, hash workshops, active SHA-3 mailing list, etc. Would have been harder to absorb same work spread over more conferences, more time. Focus improves community's understanding and confidence. This is a familiar pattern. June 1998: AES block-cipher submissions from 50 people ) community focus. April 2005: eSTREAM stream- cipher submissions from 100 people ) community focus. October 2008: SHA-3 hash- function submissions from 200 people ) community focus. This is a familiar pattern. June 1998: AES block-cipher submissions from 50 people ) community focus. April 2005: eSTREAM stream- cipher submissions from 100 people ) community focus. October 2008: SHA-3 hash- function submissions from 200 people ) community focus. NESSIE was much less focused and ended up in more trouble: e.g., only two MAC submissions. The next community focus What's next after block ciphers, stream ciphers, hash functions? Proposal: authenticated ciphers. Basic security goal: two users start with a shared secret key; then want to protect messages against espionage and forgery. The usual competition: maximize security subject to performance constraints; i.e.: maximize performance subject to security constraints. \Isn't authenticated encryption done already?" \Isn't authenticated encryption done already?" FSE 2011 Krovetz{Rogaway cite EtM, RPC, IAPM, XCBC, OCB1, TAE, CCM, CWC, GCM, EAX, OCB2, CCFB, CHM, SIV, CIP, HBS, BTM; and propose OCB3. -
Security of Authentication Based on a Universal Hash-Function Family
c de Gruyter 2010 J. Math. Crypt. 4 (2010), 1–24 DOI 10.1515 / JMC.2010.xxx The power of primes: security of authentication based on a universal hash-function family Basel Alomair, Andrew Clark and Radha Poovendran Communicated by xxx Abstract. Message authentication codes (MACs) based on universal hash-function families are be- coming increasingly popular due to their fast implementation. In this paper, we investigate a family of universal hash functions that has been appeared repeatedly in the literature and provide a detailed algebraic analysis for the security of authentication codes based on this universal hash family. In particular, the universal hash family under analysis, as appeared in the literature, uses operation in the finite field Zp. No previous work has studied the extension of such universal hash family when computations are performed modulo a non-prime integer n. In this work, we provide the first such analysis. We investigate the security of authentication when computations are performed over arbi- trary finite integer rings Zn and derive an explicit relation between the prime factorization of n and the bound on the probability of successful forgery. More specifically, we show that the probability of successful forgery against authentication codes based on such a universal hash-function family is bounded by the reciprocal of the smallest prime factor of the modulus n. Keywords. Cryptography, authentication, finite integer rings, universal hash-function families. AMS classification. 11T71, 94A60, 94A62. 1 Introduction and related work Message authentication code (MAC) algorithms can be categorized, based on their se- curity, into unconditionally and conditionally secure MACs. -
New Bounds for Almost Universal Hash Functions
New bounds for almost universal hash functions Abstract Using combinatorial analysis and the pigeon-hole principle, we introduce a new lower (or combinatorial) bound for the key length in an almost (both pairwise and l-wise) universal hash function. The advantage of this bound is that the key length only grows in proportion to the logarithm of the message length as the collision probability moves away from its theoretical minimum by an arbitrarily small and positive value. Conventionally bounds for various families of universal hash functions have been derived by using the equivalence between pairwise universal hash functions and error-correcting codes, and indeed in this paper another (very similar) bound for almost universal hash functions can be calculated from the Singleton bound in coding theory. However, the latter, perhaps unexpectedly, will be shown to be not as tight as our combinatorial one. To the best of our knowledge, this is the first time that combinatorial analysis has been demonstrated to yield a better universal hash function bound than the use of the equivalence, and we will explain why there is such a mismatch. This work therefore potentially opens the way to re-examining many bounds for a number of families of universal hash functions, which have been solely derived from bounds in coding theory and/or other combinatorial objects. 1 Introduction and contribution Universal hash function H with parameters (, K, M, b) was introduced by Carter and Wegman [9, 43]. Each family, which is indexed by a K-bit key k, consists of 2K hash functions mapping a message representable by M bits into a b-bit hash output. -
High Speed Hashing for Integers and Strings
High Speed Hashing for Integers and Strings Mikkel Thorup May 12, 2020 Abstract These notes describe the most efficient hash functions currently known for hashing integers and strings. These modern hash functions are often an order of magnitude faster than those presented in standard text books. They are also simpler to implement, and hence a clear win in practice, but their analysis is harder. Some of the most practical hash functions have only appeared in theory papers, and some of them require combining results from different theory papers. The goal here is to combine the information in lecture-style notes that can be used by theoreticians and practitioners alike, thus making these practical fruits of theory more widely accessible. 1 Hash functions The concept of truly independent hash functions is extremely useful in the design of randomized algorithms. We have a large universe U of keys, e.g., 64-bit numbers, that we wish to map ran- domly to a range [m]= 0,...,m 1 of hash values. A truly random hash function h : U [m] { − } → assigns an independent uniformly random variable h(x) to each key in x. The function h is thus a U -dimensional random variable, picked uniformly at random among all functions from U to [m]. | | Unfortunately truly random hash functions are idealized objects that cannot be implemented. More precisely, to represent a truly random hash function, we need to store at least U log2 m bits, and in most applications of hash functions, the whole point in hashing is that the universe| | is much arXiv:1504.06804v9 [cs.DS] 9 May 2020 too large for such a representation (at least not in fast internal memory). -
Message Franking Via Committing Authenticated Encryption∗
Message Franking via Committing Authenticated Encryption∗ Paul Grubbs1, Jiahui Lu2, and Thomas Ristenpart1 1 Cornell Tech 2 Shanghai Jiao Tong University Abstract We initiate the study of message franking, recently introduced in Facebook's end-to-end encrypted message system. It targets verifiable reporting of abusive messages to Facebook without compromising security guarantees. We capture the goals of message franking via a new cryptographic primitive: compactly committing authenticated encryption with associated data (AEAD). This is an AEAD scheme for which a small part of the ciphertext can be used as a cryptographic commitment to the message contents. Decryption provides, in addition to the message, a value that can be used to open the commitment. Security for franking mandates more than that required of traditional notions associated with commitment. Nevertheless, and despite the fact that AEAD schemes are in general not committing (compactly or otherwise), we prove that many in-use AEAD schemes can be used for message franking by using secret keys as openings. An implication of our results is the first proofs that several in-use symmetric en- cryption schemes are committing in the traditional sense. We also propose and analyze schemes that retain security even after openings are revealed to an adversary. One is a generalization of the scheme implicitly underlying Facebook's message franking protocol, and another is a new construction that offers improved performance. Keywords: authenticated encryption, encrypted messaging 1 Introduction Encrypted messaging systems are now used by more than a billion people, due to the introduction of popular, industry-promoted products including WhatsApp [65], Signal [66], and Facebook Mes- senger [31].