Ntruencrypt and NTRUMLS
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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. -
Mihir Bellare Curriculum Vitae Contents
Mihir Bellare Curriculum vitae August 2018 Department of Computer Science & Engineering, Mail Code 0404 University of California at San Diego 9500 Gilman Drive, La Jolla, CA 92093-0404, USA. Phone: (858) 534-4544 ; E-mail: [email protected] Web Page: http://cseweb.ucsd.edu/~mihir Contents 1 Research areas 2 2 Education 2 3 Distinctions and Awards 2 4 Impact 3 5 Grants 4 6 Professional Activities 5 7 Industrial relations 5 8 Work Experience 5 9 Teaching 6 10 Publications 6 11 Mentoring 19 12 Personal Information 21 2 1 Research areas ∗ Cryptography and security: Provable security; authentication; key distribution; signatures; encryp- tion; protocols. ∗ Complexity theory: Interactive and probabilistically checkable proofs; approximability ; complexity of zero-knowledge; randomness in protocols and algorithms; computational learning theory. 2 Education ∗ Massachusetts Institute of Technology. Ph.D in Computer Science, September 1991. Thesis title: Randomness in Interactive Proofs. Thesis supervisor: Prof. S. Micali. ∗ Massachusetts Institute of Technology. Masters in Computer Science, September 1988. Thesis title: A Signature Scheme Based on Trapdoor Permutations. Thesis supervisor: Prof. S. Micali. ∗ California Institute of Technology. B.S. with honors, June 1986. Subject: Mathematics. GPA 4.0. Class rank 4 out of 227. Summer Undergraduate Research Fellow 1984 and 1985. ∗ Ecole Active Bilingue, Paris, France. Baccalauréat Série C, June 1981. 3 Distinctions and Awards ∗ PET (Privacy Enhancing Technologies) Award 2015 for publication [154]. ∗ Fellow of the ACM (Association for Computing Machinery), 2014. ∗ ACM Paris Kanellakis Theory and Practice Award 2009. ∗ RSA Conference Award in Mathematics, 2003. ∗ David and Lucille Packard Foundation Fellowship in Science and Engineering, 1996. (Twenty awarded annually in all of Science and Engineering.) ∗ Test of Time Award, ACM CCS 2011, given for [81] as best paper from ten years prior. -
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. -
Stronger Security Notions for Trapdoor Functions and Applications
STRONGER SECURITY NOTIONS FOR TRAPDOOR FUNCTIONS AND APPLICATIONS A Thesis Presented to The Academic Faculty by Adam O'Neill In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the College of Computing Georgia Institute of Technology December 2010 STRONGER SECURITY NOTIONS FOR TRAPDOOR FUNCTIONS AND APPLICATIONS Approved by: Professor Alexandra Boldyreva, Professor Chris Peikert Advisor College of Computing College of Computing Georgia Institute of Technology Georgia Institute of Technology Professor Mihir Bellare Professor Dana Randall Computer Science and Engineering College of Computing University of California, San Diego Georgia Institute of Technology Professor Richard Lipton Professor Patrick Traynor College of Computing College of Computing Georgia Institute of Technology Georgia Institute of Technology Date Approved: 9 August 2010 To my parents, John (Chuck) and Phyllis O'Neill, and my sister Katie, for their unconditional support. iii ACKNOWLEDGEMENTS My Ph.D. studies have been a significant undertaking, which would not have been possible without the help and guidance of many people (please forgive any omissions). First of all, I'd like to thank my parents, for encouraging me to pursue higher education and giving me the opportunity to do so. My intellectual development was greatly fostered during my time as an undergrad- uate at UCSD, and for that I have many friends and teaching assistants to thank. I would especially like to thank Daniel Bryant for helping me during my freshman year, and Derek Newland for inviting me to do an independent study with him. I would also like to thank Mihir Bellare for taking the time to help undergraduates find out about graduate school and encouraging them to take graduate-level courses. -
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. -
Part V Public-Key Cryptosystems, I. Key Exchange, Knapsack
Part V Public-key cryptosystems, I. Key exchange, knapsack, RSA CHAPTER 5: PUBLIC-KEY CRYPTOGRAPHY I. RSA The main problem of secret key (or symmetric) cryptography is that in order to send securely A secret message we need to send at first securely a secret key and therefore secret key cryptography is clearly not a sufficiently good tool for massive communication capable to protect secrecy, privacy and anonymity. prof. Jozef Gruska IV054 5. Public-key cryptosystems, I. Key exchange, knapsack, RSA 2/67 SECURE ENCRYPTION - a PRACTICAL POINT OF VIEW From practical point of view encryptions by a cryptosystem can be considered as secure if they cannot be broken by many (thousands) superomputeers with exaflop performance working for some years. prof. Jozef Gruska IV054 5. Public-key cryptosystems, I. Key exchange, knapsack, RSA 3/67 CONTENT In this chapter we describe the birth of public key cryptography, that can better manage key distribution problem, and three of its cryptosystems, especially RSA. The basic idea of a public key cryptography: In a public key cryptosystem not only the encryption and decryption algorithms are public, but for each user U also the key eU for encrypting messages (by anyone) for U is public. Moreover, each user U keeps secret another (decryption) key, dU , that can be used for decryption of messages that were addressed to him and encrypted with the help of the public encryption key eU . Encryption and decryption keys could (and should) be different - we can therefore speak also about asymmetric cryptography. Secret key cryptography, that has the same key for encryption and for decryption is also called symmetric cryptography. -
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. -
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. -
A Public-Key Cryptosystem Based on Discrete Logarithm Problem Over Finite Fields 퐅퐩퐧
IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 11, Issue 1 Ver. III (Jan - Feb. 2015), PP 01-03 www.iosrjournals.org A Public-Key Cryptosystem Based On Discrete Logarithm Problem over Finite Fields 퐅퐩퐧 Saju M I1, Lilly P L2 1Assistant Professor, Department of Mathematics, St. Thomas’ College, Thrissur, India 2Associate professor, Department of Mathematics, St. Joseph’s College, Irinjalakuda, India Abstract: One of the classical problems in mathematics is the Discrete Logarithm Problem (DLP).The difficulty and complexity for solving DLP is used in most of the cryptosystems. In this paper we design a public key system based on the ring of polynomials over the field 퐹푝 is developed. The security of the system is based on the difficulty of finding discrete logarithms over the function field 퐹푝푛 with suitable prime p and sufficiently large n. The presented system has all features of ordinary public key cryptosystem. Keywords: Discrete logarithm problem, Function Field, Polynomials over finite fields, Primitive polynomial, Public key cryptosystem. I. Introduction For the construction of a public key cryptosystem, we need a finite extension field Fpn overFp. In our paper [1] we design a public key cryptosystem based on discrete logarithm problem over the field F2. Here, for increasing the complexity and difficulty for solving DLP, we made a proper additional modification in the system. A cryptosystem for message transmission means a map from units of ordinary text called plaintext message units to units of coded text called cipher text message units. The face of cryptography was radically altered when Diffie and Hellman invented an entirely new type of cryptography, called public key [Diffie and Hellman 1976][2]. -
2.3 Diffie–Hellman Key Exchange
2.3. Di±e{Hellman key exchange 65 q q q q q q 6 q qq q q q q q q 900 q q q q q q q qq q q q q q q q q q q q q q q q q 800 q q q qq q q q q q q q q q qq q q q q q q q q q q q 700 q q q q q q q q q q q q q q q q q q q q q q q q q q qq q 600 q q q q q q q q q q q q qq q q q q q q q q q q q q q q q q q qq q q q q q q q q 500 q qq q q q q q qq q q q q q qqq q q q q q q q q q q q q q qq q q q 400 q q q q q q q q q q q q q q q q q q q q q q q q q 300 q q q q q q q q q q q q q q q q q q qqqq qqq q q q q q q q q q q q 200 q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq q q qq q q 100 q q q q q q q q q q q q q q q q q q q q q q q q q 0 q - 0 30 60 90 120 150 180 210 240 270 Figure 2.2: Powers 627i mod 941 for i = 1; 2; 3;::: any group and use the group law instead of multiplication. -
Overview of Post-Quantum Public-Key Cryptosystems for Key Exchange
Overview of post-quantum public-key cryptosystems for key exchange Annabell Kuldmaa Supervised by Ahto Truu December 15, 2015 Abstract In this report we review four post-quantum cryptosystems: the ring learning with errors key exchange, the supersingular isogeny key exchange, the NTRU and the McEliece cryptosystem. For each protocol, we introduce the underlying math- ematical assumption, give overview of the protocol and present some implementa- tion results. We compare the implementation results on 128-bit security level with elliptic curve Diffie-Hellman and RSA. 1 Introduction The aim of post-quantum cryptography is to introduce cryptosystems which are not known to be broken using quantum computers. Most of today’s public-key cryptosys- tems, including the Diffie-Hellman key exchange protocol, rely on mathematical prob- lems that are hard for classical computers, but can be solved on quantum computers us- ing Shor’s algorithm. In this report we consider replacements for the Diffie-Hellmann key exchange and introduce several quantum-resistant public-key cryptosystems. In Section 2 the ring learning with errors key exchange is presented which was introduced by Peikert in 2014 [1]. We continue in Section 3 with the supersingular isogeny Diffie–Hellman key exchange presented by De Feo, Jao, and Plut in 2011 [2]. In Section 5 we consider the NTRU encryption scheme first described by Hoffstein, Piphe and Silvermain in 1996 [3]. We conclude in Section 6 with the McEliece cryp- tosystem introduced by McEliece in 1978 [4]. As NTRU and the McEliece cryptosys- tem are not originally designed for key exchange, we also briefly explain in Section 4 how we can construct key exchange from any asymmetric encryption scheme.