A Lightweight Implementation of Ntruencrypt for 8-Bit AVR Microcontrollers
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Etsi Gr Qsc 001 V1.1.1 (2016-07)
ETSI GR QSC 001 V1.1.1 (2016-07) GROUP REPORT Quantum-Safe Cryptography (QSC); Quantum-safe algorithmic framework 2 ETSI GR QSC 001 V1.1.1 (2016-07) Reference DGR/QSC-001 Keywords algorithm, authentication, confidentiality, security ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N° 348 623 562 00017 - NAF 742 C Association à but non lucratif enregistrée à la Sous-Préfecture de Grasse (06) N° 7803/88 Important notice The present document can be downloaded from: http://www.etsi.org/standards-search The present document may be made available in electronic versions and/or in print. The content of any electronic and/or print versions of the present document shall not be modified without the prior written authorization of ETSI. In case of any existing or perceived difference in contents between such versions and/or in print, the only prevailing document is the print of the Portable Document Format (PDF) version kept on a specific network drive within ETSI Secretariat. Users of the present document should be aware that the document may be subject to revision or change of status. Information on the current status of this and other ETSI documents is available at https://portal.etsi.org/TB/ETSIDeliverableStatus.aspx If you find errors in the present document, please send your comment to one of the following services: https://portal.etsi.org/People/CommiteeSupportStaff.aspx Copyright Notification No part may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm except as authorized by written permission of ETSI. -
Circuit-Extension Handshakes for Tor Achieving Forward Secrecy in a Quantum World
Proceedings on Privacy Enhancing Technologies ; 2016 (4):219–236 John M. Schanck*, William Whyte, and Zhenfei Zhang Circuit-extension handshakes for Tor achieving forward secrecy in a quantum world Abstract: We propose a circuit extension handshake for 2. Anonymity: Some one-way authenticated key ex- Tor that is forward secure against adversaries who gain change protocols, such as ntor [13], guarantee that quantum computing capabilities after session negotia- the unauthenticated peer does not reveal their iden- tion. In doing so, we refine the notion of an authen- tity just by participating in the protocol. Such pro- ticated and confidential channel establishment (ACCE) tocols are deemed one-way anonymous. protocol and define pre-quantum, transitional, and post- 3. Forward Secrecy: A protocol provides forward quantum ACCE security. These new definitions reflect secrecy if the compromise of a party’s long-term the types of adversaries that a protocol might be de- key material does not affect the secrecy of session signed to resist. We prove that, with some small mod- keys negotiated prior to the compromise. Forward ifications, the currently deployed Tor circuit extension secrecy is typically achieved by mixing long-term handshake, ntor, provides pre-quantum ACCE security. key material with ephemeral keys that are discarded We then prove that our new protocol, when instantiated as soon as the session has been established. with a post-quantum key encapsulation mechanism, Forward secret protocols are a particularly effective tool achieves the stronger notion of transitional ACCE se- for resisting mass surveillance as they resist a broad curity. Finally, we instantiate our protocol with NTRU- class of harvest-then-decrypt attacks. -
Arxiv:Cs/0601091V2
Communication Over MIMO Broadcast Channels Using Lattice-Basis Reduction1 Mahmoud Taherzadeh, Amin Mobasher, and Amir K. Khandani Coding & Signal Transmission Laboratory Department of Electrical & Computer Engineering University of Waterloo Waterloo, Ontario, Canada, N2L 3G1 Abstract A simple scheme for communication over MIMO broadcast channels is introduced which adopts the lattice reduction technique to improve the naive channel inversion method. Lattice basis reduction helps us to reduce the average transmitted energy by modifying the region which includes the constellation points. Simulation results show that the proposed scheme performs well, and as compared to the more complex methods (such as the perturbation method [1]) has a negligible loss. Moreover, the proposed method is extended to the case of different rates for different users. The asymptotic behavior (SNR ) of the symbol error rate of the proposed method and the −→ ∞ perturbation technique, and also the outage probability for the case of fixed-rate users is analyzed. It is shown that the proposed method, based on LLL lattice reduction, achieves the optimum asymptotic slope of symbol-error-rate (called the precoding diversity). Also, the outage probability for the case of fixed sum-rate is analyzed. I. INTRODUCTION In the recent years, communications over multiple-antenna fading channels has attracted the attention of many researchers. Initially, the main interest has been on the point-to-point Multiple-Input Multiple-Output (MIMO) communications [2]–[6]. In [2] and [3], the authors have shown that the capacity of a MIMO point-to-point channel increases linearly with the arXiv:cs/0601091v2 [cs.IT] 18 Jun 2007 minimum number of the transmit and the receive antennas. -
Public Key Cryptography And
PublicPublic KeyKey CryptographyCryptography andand RSARSA 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 9-1 OverviewOverview 1. Public Key Encryption 2. Symmetric vs. Public-Key 3. RSA Public Key Encryption 4. RSA Key Construction 5. Optimizing Private Key Operations 6. RSA Security 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 9-2 PublicPublic KeyKey EncryptionEncryption Invented in 1975 by Diffie and Hellman at Stanford Encrypted_Message = Encrypt(Key1, Message) Message = Decrypt(Key2, Encrypted_Message) Key1 Key2 Text Ciphertext Text Keys are interchangeable: Key2 Key1 Text Ciphertext Text One key is made public while the other is kept private Sender knows only public key of the receiver Asymmetric Washington University in St. Louis CSE571S ©2011 Raj Jain 9-3 PublicPublic KeyKey EncryptionEncryption ExampleExample Rivest, Shamir, and Adleman at MIT RSA: Encrypted_Message = m3 mod 187 Message = Encrypted_Message107 mod 187 Key1 = <3,187>, Key2 = <107,187> Message = 5 Encrypted Message = 53 = 125 Message = 125107 mod 187 = 5 = 125(64+32+8+2+1) mod 187 = {(12564 mod 187)(12532 mod 187)... (1252 mod 187)(125 mod 187)} mod 187 Washington University in -
Lectures on the NTRU Encryption Algorithm and Digital Signature Scheme: Grenoble, June 2002
Lectures on the NTRU encryption algorithm and digital signature scheme: Grenoble, June 2002 J. Pipher Brown University, Providence RI 02912 1 Lecture 1 1.1 Integer lattices Lattices have been studied by cryptographers for quite some time, in both the field of cryptanalysis (see for example [16{18]) and as a source of hard problems on which to build encryption schemes (see [1, 8, 9]). In this lecture, we describe the NTRU encryption algorithm, and the lattice problems on which this is based. We begin with some definitions and a brief overview of lattices. If a ; a ; :::; a are n independent vectors in Rm, n m, then the 1 2 n ≤ integer lattice with these vectors as basis is the set = n x a : x L f 1 i i i 2 Z . A lattice is often represented as matrix A whose rows are the basis g P vectors a1; :::; an. The elements of the lattice are simply the vectors of the form vT A, which denotes the usual matrix multiplication. We will specialize for now to the situation when the rank of the lattice and the dimension are the same (n = m). The determinant of a lattice det( ) is the volume of the fundamen- L tal parallelepiped spanned by the basis vectors. By the Gram-Schmidt process, one can obtain a basis for the vector space generated by , and L the det( ) will just be the product of these orthogonal vectors. Note that L these vectors are not a basis for as a lattice, since will not usually L L possess an orthogonal basis. -
Solving Hard Lattice Problems and the Security of Lattice-Based Cryptosystems
Solving Hard Lattice Problems and the Security of Lattice-Based Cryptosystems † Thijs Laarhoven∗ Joop van de Pol Benne de Weger∗ September 10, 2012 Abstract This paper is a tutorial introduction to the present state-of-the-art in the field of security of lattice- based cryptosystems. After a short introduction to lattices, we describe the main hard problems in lattice theory that cryptosystems base their security on, and we present the main methods of attacking these hard problems, based on lattice basis reduction. We show how to find shortest vectors in lattices, which can be used to improve basis reduction algorithms. Finally we give a framework for assessing the security of cryptosystems based on these hard problems. 1 Introduction Lattice-based cryptography is a quickly expanding field. The last two decades have seen exciting devel- opments, both in using lattices in cryptanalysis and in building public key cryptosystems on hard lattice problems. In the latter category we could mention the systems of Ajtai and Dwork [AD], Goldreich, Goldwasser and Halevi [GGH2], the NTRU cryptosystem [HPS], and systems built on Small Integer Solu- tions [MR1] problems and Learning With Errors [R1] problems. In the last few years these developments culminated in the advent of the first fully homomorphic encryption scheme by Gentry [Ge]. A major issue in this field is to base key length recommendations on a firm understanding of the hardness of the underlying lattice problems. The general feeling among the experts is that the present understanding is not yet on the same level as the understanding of, e.g., factoring or discrete logarithms. -
NSS: an NTRU Lattice –Based Signature Scheme
ISSN(Online) : 2319 - 8753 ISSN (Print) : 2347 - 6710 International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 4, Issue 4, April 2015 NSS: An NTRU Lattice –Based Signature Scheme S.Esther Sukila Department of Mathematics, Bharath University, Chennai, Tamil Nadu, India ABSTRACT: Whenever a PKC is designed, it is also analyzed whether it could be used as a signature scheme. In this paper, how the NTRU concept can be used to form a digital signature scheme [1] is described. I. INTRODUCTION Digital Signature Schemes The notion of a digital signature may prove to be one of the most fundamental and useful inventions of modern cryptography. A digital signature or digital signature scheme is a mathematical scheme for demonstrating the authenticity of a digital message or document. The creator of a message can attach a code, the signature, which guarantees the source and integrity of the message. A valid digital signature gives a recipient reason to believe that the message was created by a known sender and that it was not altered in transit. Digital signatures are commonly used for software distribution, financial transactions etc. Digital signatures are equivalent to traditional handwritten signatures. Properly implemented digital signatures are more difficult to forge than the handwritten type. 1.1A digital signature scheme typically consists of three algorithms A key generationalgorithm, that selects a private key uniformly at random from a set of possible private keys. The algorithm outputs the private key and a corresponding public key. A signing algorithm, that given a message and a private key produces a signature. -
Ch 13 Digital Signature
1 CH 13 DIGITAL SIGNATURE Cryptography and Network Security HanJung Mason Yun 2 Index 13.1 Digital Signatures 13.2 Elgamal Digital Signature Scheme 13.3 Schnorr Digital Signature Scheme 13.4 NIST Digital Signature Algorithm 13.6 RSA-PSS Digital Signature Algorithm 3 13.1 Digital Signature - Properties • It must verify the author and the date and time of the signature. • It must authenticate the contents at the time of the signature. • It must be verifiable by third parties, to resolve disputes. • The digital signature function includes authentication. 4 5 6 Attacks and Forgeries • Key-Only attack • Known message attack • Generic chosen message attack • Directed chosen message attack • Adaptive chosen message attack 7 Attacks and Forgeries • Total break • Universal forgery • Selective forgery • Existential forgery 8 Digital Signature Requirements • It must be a bit pattern that depends on the message. • It must use some information unique to the sender to prevent both forgery and denial. • It must be relatively easy to produce the digital signature. • It must be relatively easy to recognize and verify the digital signature. • It must be computationally infeasible to forge a digital signature, either by constructing a new message for an existing digital signature or by constructing a fraudulent digital signature for a given message. • It must be practical to retain a copy of the digital signature in storage. 9 Direct Digital Signature • Digital signature scheme that involves only the communication parties. • It must authenticate the contents at the time of the signature. • It must be verifiable by third parties, to resolve disputes. • Thus, the digital signature function includes the authentication function. -
Lattice-Based Cryptography - a Comparative Description and Analysis of Proposed Schemes
Lattice-based cryptography - A comparative description and analysis of proposed schemes Einar Løvhøiden Antonsen Thesis submitted for the degree of Master in Informatics: programming and networks 60 credits Department of Informatics Faculty of mathematics and natural sciences UNIVERSITY OF OSLO Autumn 2017 Lattice-based cryptography - A comparative description and analysis of proposed schemes Einar Løvhøiden Antonsen c 2017 Einar Løvhøiden Antonsen Lattice-based cryptography - A comparative description and analysis of proposed schemes http://www.duo.uio.no/ Printed: Reprosentralen, University of Oslo Acknowledgement I would like to thank my supervisor, Leif Nilsen, for all the help and guidance during my work with this thesis. I would also like to thank all my friends and family for the support. And a shoutout to Bliss and the guys there (you know who you are) for providing a place to relax during stressful times. 1 Abstract The standard public-key cryptosystems used today relies mathematical problems that require a lot of computing force to solve, so much that, with the right parameters, they are computationally unsolvable. But there are quantum algorithms that are able to solve these problems in much shorter time. These quantum algorithms have been known for many years, but have only been a problem in theory because of the lack of quantum computers. But with recent development in the building of quantum computers, the cryptographic world is looking for quantum-resistant replacements for today’s standard public-key cryptosystems. Public-key cryptosystems based on lattices are possible replacements. This thesis presents several possible candidates for new standard public-key cryptosystems, mainly NTRU and ring-LWE-based systems. -
NTRU Cryptosystem: Recent Developments and Emerging Mathematical Problems in Finite Polynomial Rings
XXXX, 1–33 © De Gruyter YYYY NTRU Cryptosystem: Recent Developments and Emerging Mathematical Problems in Finite Polynomial Rings Ron Steinfeld Abstract. The NTRU public-key cryptosystem, proposed in 1996 by Hoffstein, Pipher and Silverman, is a fast and practical alternative to classical schemes based on factorization or discrete logarithms. In contrast to the latter schemes, it offers quasi-optimal asymptotic effi- ciency and conjectured security against quantum computing attacks. The scheme is defined over finite polynomial rings, and its security analysis involves the study of natural statistical and computational problems defined over these rings. We survey several recent developments in both the security analysis and in the applica- tions of NTRU and its variants, within the broader field of lattice-based cryptography. These developments include a provable relation between the security of NTRU and the computa- tional hardness of worst-case instances of certain lattice problems, and the construction of fully homomorphic and multilinear cryptographic algorithms. In the process, we identify the underlying statistical and computational problems in finite rings. Keywords. NTRU Cryptosystem, lattice-based cryptography, fully homomorphic encryption, multilinear maps. AMS classification. 68Q17, 68Q87, 68Q12, 11T55, 11T71, 11T22. 1 Introduction The NTRU public-key cryptosystem has attracted much attention by the cryptographic community since its introduction in 1996 by Hoffstein, Pipher and Silverman [32, 33]. Unlike more classical public-key cryptosystems based on the hardness of integer factorisation or the discrete logarithm over finite fields and elliptic curves, NTRU is based on the hardness of finding ‘small’ solutions to systems of linear equations over polynomial rings, and as a consequence is closely related to geometric problems on certain classes of high-dimensional Euclidean lattices. -
On Ideal Lattices and Learning with Errors Over Rings∗
On Ideal Lattices and Learning with Errors Over Rings∗ Vadim Lyubashevskyy Chris Peikertz Oded Regevx June 25, 2013 Abstract The “learning with errors” (LWE) problem is to distinguish random linear equations, which have been perturbed by a small amount of noise, from truly uniform ones. The problem has been shown to be as hard as worst-case lattice problems, and in recent years it has served as the foundation for a plethora of cryptographic applications. Unfortunately, these applications are rather inefficient due to an inherent quadratic overhead in the use of LWE. A main open question was whether LWE and its applications could be made truly efficient by exploiting extra algebraic structure, as was done for lattice-based hash functions (and related primitives). We resolve this question in the affirmative by introducing an algebraic variant of LWE called ring- LWE, and proving that it too enjoys very strong hardness guarantees. Specifically, we show that the ring-LWE distribution is pseudorandom, assuming that worst-case problems on ideal lattices are hard for polynomial-time quantum algorithms. Applications include the first truly practical lattice-based public-key cryptosystem with an efficient security reduction; moreover, many of the other applications of LWE can be made much more efficient through the use of ring-LWE. 1 Introduction Over the last decade, lattices have emerged as a very attractive foundation for cryptography. The appeal of lattice-based primitives stems from the fact that their security can often be based on worst-case hardness assumptions, and that they appear to remain secure even against quantum computers. -
Performance Evaluation of RSA and NTRU Over GPU with Maxwell and Pascal Architecture
Performance Evaluation of RSA and NTRU over GPU with Maxwell and Pascal Architecture Xian-Fu Wong1, Bok-Min Goi1, Wai-Kong Lee2, and Raphael C.-W. Phan3 1Lee Kong Chian Faculty of and Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long, Malaysia 2Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia 3Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia E-mail: [email protected]; {goibm; wklee}@utar.edu.my; [email protected] Received 2 September 2017; Accepted 22 October 2017; Publication 20 November 2017 Abstract Public key cryptography important in protecting the key exchange between two parties for secure mobile and wireless communication. RSA is one of the most widely used public key cryptographic algorithms, but the Modular exponentiation involved in RSA is very time-consuming when the bit-size is large, usually in the range of 1024-bit to 4096-bit. The speed performance of RSA comes to concerns when thousands or millions of authentication requests are needed to handle by the server at a time, through a massive number of connected mobile and wireless devices. On the other hand, NTRU is another public key cryptographic algorithm that becomes popular recently due to the ability to resist attack from quantum computer. In this paper, we exploit the massively parallel architecture in GPU to perform RSA and NTRU computations. Various optimization techniques were proposed in this paper to achieve higher throughput in RSA and NTRU computation in two GPU platforms. To allow a fair comparison with existing RSA implementation techniques, we proposed to evaluate the speed performance in the best case Journal of Software Networking, 201–220.