Identity-Based Signatures
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Chicago Journal of Theoretical Computer Science the MIT Press
Chicago Journal of Theoretical Computer Science The MIT Press Volume 1997, Article 1 12 March 1997 ISSN 1073–0486. MIT Press Journals, 55 Hayward St., Cambridge, MA 02142 USA; (617)253-2889; [email protected], [email protected]. Published one article at a time in LATEX source form on the Internet. Pag- ination varies from copy to copy. For more information and other articles see: http://www-mitpress.mit.edu/jrnls-catalog/chicago.html • http://www.cs.uchicago.edu/publications/cjtcs/ • ftp://mitpress.mit.edu/pub/CJTCS • ftp://cs.uchicago.edu/pub/publications/cjtcs • Feige and Kilian Limited vs. Polynomial Nondeterminism (Info) The Chicago Journal of Theoretical Computer Science is abstracted or in- R R R dexed in Research Alert, SciSearch, Current Contents /Engineering Com- R puting & Technology, and CompuMath Citation Index. c 1997 The Massachusetts Institute of Technology. Subscribers are licensed to use journal articles in a variety of ways, limited only as required to insure fair attribution to authors and the journal, and to prohibit use in a competing commercial product. See the journal’s World Wide Web site for further details. Address inquiries to the Subsidiary Rights Manager, MIT Press Journals; (617)253-2864; [email protected]. The Chicago Journal of Theoretical Computer Science is a peer-reviewed scholarly journal in theoretical computer science. The journal is committed to providing a forum for significant results on theoretical aspects of all topics in computer science. Editor in chief: Janos Simon Consulting -
(L ,J SEP 3 0 2009 LIBRARIES
Nearest Neighbor Search: the Old, the New, and the Impossible by Alexandr Andoni Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2009 © Massachusetts Institute of Technology 2009. All rights reserved. Author .............. .. .. ......... .... ..... ... ......... ....... Department of Electrical Engineering and Computer Science September 4, 2009 (l ,J Certified by................ Piotr I/ yk Associate Professor Thesis Supervisor Accepted by ................................ /''~~ Terry P. Orlando Chairman, Department Committee on Graduate Students MASSACHUSETTS PaY OF TECHNOLOGY SEP 3 0 2009 ARCHIVES LIBRARIES Nearest Neighbor Search: the Old, the New, and the Impossible by Alexandr Andoni Submitted to the Department of Electrical Engineering and Computer Science on September 4, 2009, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Abstract Over the last decade, an immense amount of data has become available. From collections of photos, to genetic data, and to network traffic statistics, modern technologies and cheap storage have made it possible to accumulate huge datasets. But how can we effectively use all this data? The ever growing sizes of the datasets make it imperative to design new algorithms capable of sifting through this data with extreme efficiency. A fundamental computational primitive for dealing with massive dataset is the Nearest Neighbor (NN) problem. In the NN problem, the goal is to preprocess a set of objects, so that later, given a query object, one can find efficiently the data object most similar to the query. This problem has a broad set of applications in data processing and analysis. -
Research Notices
AMERICAN MATHEMATICAL SOCIETY Research in Collegiate Mathematics Education. V Annie Selden, Tennessee Technological University, Cookeville, Ed Dubinsky, Kent State University, OH, Guershon Hare I, University of California San Diego, La jolla, and Fernando Hitt, C/NVESTAV, Mexico, Editors This volume presents state-of-the-art research on understanding, teaching, and learning mathematics at the post-secondary level. The articles are peer-reviewed for two major features: (I) advancing our understanding of collegiate mathematics education, and (2) readability by a wide audience of practicing mathematicians interested in issues affecting their students. This is not a collection of scholarly arcana, but a compilation of useful and informative research regarding how students think about and learn mathematics. This series is published in cooperation with the Mathematical Association of America. CBMS Issues in Mathematics Education, Volume 12; 2003; 206 pages; Softcover; ISBN 0-8218-3302-2; List $49;AII individuals $39; Order code CBMATH/12N044 MATHEMATICS EDUCATION Also of interest .. RESEARCH: AGul<lelbrthe Mathematics Education Research: Hothomatldan- A Guide for the Research Mathematician --lllll'tj.M...,.a.,-- Curtis McKnight, Andy Magid, and -- Teri J. Murphy, University of Oklahoma, Norman, and Michelynn McKnight, Norman, OK 2000; I 06 pages; Softcover; ISBN 0-8218-20 16-8; List $20;AII AMS members $16; Order code MERN044 Teaching Mathematics in Colleges and Universities: Case Studies for Today's Classroom Graduate Student Edition Faculty -
A Decade of Lattice Cryptography
Full text available at: http://dx.doi.org/10.1561/0400000074 A Decade of Lattice Cryptography Chris Peikert Computer Science and Engineering University of Michigan, United States Boston — Delft Full text available at: http://dx.doi.org/10.1561/0400000074 Foundations and Trends R in Theoretical Computer Science Published, sold and distributed by: now Publishers Inc. PO Box 1024 Hanover, MA 02339 United States Tel. +1-781-985-4510 www.nowpublishers.com [email protected] Outside North America: now Publishers Inc. PO Box 179 2600 AD Delft The Netherlands Tel. +31-6-51115274 The preferred citation for this publication is C. Peikert. A Decade of Lattice Cryptography. Foundations and Trends R in Theoretical Computer Science, vol. 10, no. 4, pp. 283–424, 2014. R This Foundations and Trends issue was typeset in LATEX using a class file designed by Neal Parikh. Printed on acid-free paper. ISBN: 978-1-68083-113-9 c 2016 C. Peikert All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, photocopying, recording or otherwise, without prior written permission of the publishers. Photocopying. In the USA: This journal is registered at the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923. Authorization to photocopy items for in- ternal or personal use, or the internal or personal use of specific clients, is granted by now Publishers Inc for users registered with the Copyright Clearance Center (CCC). The ‘services’ for users can be found on the internet at: www.copyright.com For those organizations that have been granted a photocopy license, a separate system of payment has been arranged. -
The Best Nurturers in Computer Science Research
The Best Nurturers in Computer Science Research Bharath Kumar M. Y. N. Srikant IISc-CSA-TR-2004-10 http://archive.csa.iisc.ernet.in/TR/2004/10/ Computer Science and Automation Indian Institute of Science, India October 2004 The Best Nurturers in Computer Science Research Bharath Kumar M.∗ Y. N. Srikant† Abstract The paper presents a heuristic for mining nurturers in temporally organized collaboration networks: people who facilitate the growth and success of the young ones. Specifically, this heuristic is applied to the computer science bibliographic data to find the best nurturers in computer science research. The measure of success is parameterized, and the paper demonstrates experiments and results with publication count and citations as success metrics. Rather than just the nurturer’s success, the heuristic captures the influence he has had in the indepen- dent success of the relatively young in the network. These results can hence be a useful resource to graduate students and post-doctoral can- didates. The heuristic is extended to accurately yield ranked nurturers inside a particular time period. Interestingly, there is a recognizable deviation between the rankings of the most successful researchers and the best nurturers, which although is obvious from a social perspective has not been statistically demonstrated. Keywords: Social Network Analysis, Bibliometrics, Temporal Data Mining. 1 Introduction Consider a student Arjun, who has finished his under-graduate degree in Computer Science, and is seeking a PhD degree followed by a successful career in Computer Science research. How does he choose his research advisor? He has the following options with him: 1. Look up the rankings of various universities [1], and apply to any “rea- sonably good” professor in any of the top universities. -
Approximation, Randomization, and Combinatorial Optimization
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques 17th International Workshop, APPROX 2014, and 18th International Workshop, RANDOM 2014 September 4–6, 2014, Barcelona, Spain Edited by Klaus Jansen José D. P. Rolim Nikhil R. Devanur Cristopher Moore LIPIcs – Vol. 28 – APPROX/RANDOM’14 www.dagstuhl.de/lipics Editors Klaus Jansen José D. P. Rolim University of Kiel University of Geneva Kiel Geneva [email protected] [email protected] Nikhil R. Devanur Cristopher Moore Microsoft Research Santa Fe Institute Redmond New Mexico [email protected] [email protected] ACM Classification 1998 C.2.1 Network Architecture and Design, C.2.2 Computer-communication, E.4 Coding and Information Theory, F. Theory of Computation, F.1.0 Computation by Abstract Devices, F.1.1 Models of Computation – relations between models, F.1.2 Modes of Computation, F.1.3 Complexity Measures and Classes, F.2.0 Analysis of Algorithms and Problem Complexity, F.2.1 Numerical Algorithms and Problems, F.2.2 Nonnumerical Algorithms and Problems G.1.2 Approximation, G.1.6 Optimization, G.2 Discrete Mathematics, G.2.1 Combinatorics, G.2.2 Graph Theory, G.3 Probability and Statistics, I.1.2 Algorithms, J.4 Computer Applications – Social and Behavioral Sciences ISBN 978-3-939897-74-3 Published online and open access by Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing, Saarbrücken/Wadern, Germany. Online available at http://www.dagstuhl.de/dagpub/978-3-939897-74-3. Publication date September, 2014 Bibliographic information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available in the Internet at http://dnb.d-nb.de. -
Algebraic Pseudorandom Functions with Improved Efficiency from the Augmented Cascade*
Algebraic Pseudorandom Functions with Improved Efficiency from the Augmented Cascade* DAN BONEH† HART MONTGOMERY‡ ANANTH RAGHUNATHAN§ Department of Computer Science, Stanford University fdabo,hartm,[email protected] September 8, 2020 Abstract We construct an algebraic pseudorandom function (PRF) that is more efficient than the classic Naor- Reingold algebraic PRF. Our PRF is the result of adapting the cascade construction, which is the basis of HMAC, to the algebraic settings. To do so we define an augmented cascade and prove it secure when the underlying PRF satisfies a property called parallel security. We then use the augmented cascade to build new algebraic PRFs. The algebraic structure of our PRF leads to an efficient large-domain Verifiable Random Function (VRF) and a large-domain simulatable VRF. 1 Introduction Pseudorandom functions (PRFs), first defined by Goldreich, Goldwasser, and Micali [GGM86], are a fun- damental building block in cryptography and have numerous applications. They are used for encryption, message integrity, signatures, key derivation, user authentication, and many other cryptographic mecha- nisms. Beyond cryptography, PRFs are used to defend against denial of service attacks [Ber96, CW03] and even to prove lower bounds in learning theory. In a nutshell, a PRF is indistinguishable from a truly random function. We give precise definitions in the next section. The fastest PRFs are built from block ciphers like AES and security is based on ad-hoc inter- active assumptions. In 1996, Naor and Reingold [NR97] presented an elegant PRF whose security can be deduced from the hardness of the Decision Diffie-Hellman problem (DDH) defined in the next section. -
Dan Boneh Cryptography Professor, Professor of Electrical Engineering and Senior Fellow at the Freeman Spogli Institute for International Studies Computer Science
Dan Boneh Cryptography Professor, Professor of Electrical Engineering and Senior Fellow at the Freeman Spogli Institute for International Studies Computer Science CONTACT INFORMATION • Administrator Ruth Harris - Administrative Associate Email [email protected] Tel (650) 723-1658 Bio BIO Professor Boneh heads the applied cryptography group and co-direct the computer security lab. Professor Boneh's research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997. ACADEMIC APPOINTMENTS • Professor, Computer Science • Professor, Electrical Engineering • Senior Fellow, Freeman Spogli Institute for International Studies HONORS AND AWARDS • ACM prize, ACM (2015) • Simons investigator, Simons foundation (2015) • Godel prize, ACM (2013) • IACR fellow, IACR (2013) 4 OF 6 PROFESSIONAL EDUCATION • PhD, Princeton (1996) LINKS • http://crypto.stanford.edu/~dabo: http://crypto.stanford.edu/~dabo Page 1 of 2 Dan Boneh http://cap.stanford.edu/profiles/Dan_Boneh/ Teaching COURSES 2021-22 • Computer and Network Security: CS 155 (Spr) • Cryptocurrencies and blockchain technologies: CS 251 (Aut) • -
Remote Side-Channel Attacks on Anonymous Transactions
Remote Side-Channel Attacks on Anonymous Transactions Florian Tramer and Dan Boneh, Stanford University; Kenny Paterson, ETH Zurich https://www.usenix.org/conference/usenixsecurity20/presentation/tramer This paper is included in the Proceedings of the 29th USENIX Security Symposium. August 12–14, 2020 978-1-939133-17-5 Open access to the Proceedings of the 29th USENIX Security Symposium is sponsored by USENIX. Remote Side-Channel Attacks on Anonymous Transactions Florian Tramèr∗ Dan Boneh Kenneth G. Paterson Stanford University Stanford University ETH Zürich Abstract Bitcoin’s transaction graph. The same holds for many other Privacy-focused crypto-currencies, such as Zcash or Monero, crypto-currencies. aim to provide strong cryptographic guarantees for transaction For those who want transaction privacy on a public confidentiality and unlinkability. In this paper, we describe blockchain, systems like Zcash [45], Monero [47], and several side-channel attacks that let remote adversaries bypass these others offer differing degrees of unlinkability against a party protections. who records all the transactions in the network. We focus We present a general class of timing side-channel and in this paper on Zcash and Monero, since they are the two traffic-analysis attacks on receiver privacy. These attacks en- largest anonymous crypto-currencies by market capitaliza- able an active remote adversary to identify the (secret) payee tion. However our approach is more generally applicable, and of any transaction in Zcash or Monero. The attacks violate we expect other anonymous crypto-currencies to suffer from the privacy goals of these crypto-currencies by exploiting similar vulnerabilities. side-channel information leaked by the implementation of Zcash and Monero use fairly advanced cryptographic different system components. -
Uriel Feige, Publications, July 2017. Papers Are Sorted by Categories. for Papers That Have More Than One Version (Typically, Jo
Uriel Feige, Publications, July 2017. Papers are sorted by categories. For papers that have more than one version (typically, journal version and conference proceedings), the different versions are combined into one entry in the list. STOC is shorthand for \Annual ACM Symposium on the Theory of Computing". FOCS is shorthand for \Symposium on Foundations of Computer Science". Journal publications 1. Uriel Feige, Amos Fiat, and Adi Shamir. \Zero Knowledge Proofs of Identity". Jour- nal of Cryptology, 1988, Vol. 1, pp. 77-94. Preliminary version appeared in Proc. of the 19th STOC, 1987, pp. 210-217. 2. Uriel Feige, David Peleg, Prabhakar Raghavan and Eli Upfal. \Randomized Broadcast in Networks". Random Structures and algorithms, 1(4), 1990, pp. 447-460. Preliminary version appeared in proceedings of SIGAL International Symposium on Algorithms, Tokyo, Japan, August 1990. 3. Uriel Feige and Adi Shamir. \Multi-Oracle Interactive Protocols with Constant Space Verifiers”. Journal of Computer and System Sciences, Vol. 44, pp. 259-271, April 1992. Preliminary version appeared in Proceedings of Fourth Annual Conference on Struc- ture in Complexity Theory, June 1989. 4. Uriel Feige. "On the Complexity of Finite Random Functions". Information Process- ing Letters 44 (1992) 295-296. 5. Uriel Feige, David Peleg, Prabhakar Raghavan and Eli Upfal. \Computing With Noisy Information". SIAM Journal on Computing, 23(5), 1001{1018, 1994. Preliminary version appeared in Proceedings of 22nd STOC, 1990, pp. 128-137. 6. Noga Alon, Uriel Feige, Avi Wigderson, and David Zuckerman. "Derandomized Graph Products". Computational Complexity 5 (1995) 60{75. 7. Uriel Feige. \A Tight Upper Bound on the Cover Time for Random Walks on Graphs". -
Generalized Hierarchical Identity-Based Signcryption
1078 JOURNAL OF COMPUTERS, VOL. 5, NO. 7, JULY 2010 Generalized Hierarchical Identity-Based Signcryption Hao Wang School of computer science and technology, Shandong University, Jinan, China Email: [email protected] Qiuliang Xu1 and Xiufeng Zhao1,2 1 School of computer science and technology, Shandong University, Jinan, China 2 Institute of Electronic Technology, Information Engineering University, Zhengzhou, China Email: [email protected], [email protected] Abstract—In this paper, we propose a generic method to allows delegation as above is called Hierarchical Identity- construct Hierarchical Identity-Based Signcryption scheme. Based Encryption (HIBE). In HIBE, messages are Using this method, a Hierarchical Identity-Based Sign- encrypted for identity-vectors, representing nodes in the cryption scheme can be converted from any Hierarchical identity hierarchy. This concept was introduced by Identity-Based Encryption scheme. Then, we give a concrete Horwitz and Lynn [9], who also described a partial instantiation, which is the first constant-size fully secure solution to it, and the first fully functional HIBE system hierarchical identity-based signcryption scheme in the standard model. Furthermore, our scheme can achieve was described by Gentry and Silverberg [10]. CCA2 security level without using any additional crypto- In many situations we want to enjoy confidentiality, graphy primitive. authenticity and non-repudiation of message simulta- neously. The general IBE (HIBE) can not guarantee the Index Terms—hierarchical identity-based signcryption, fully authenticity and non-repudiation. A traditional method to secure, constant-size ciphertext, composite order bilinear solve this problem is to digitally sign a message then group followed by an encryption (signature-then-encryption) that can have two problems: low efficiency and high cost of such summation, and the case that any arbitrary I. -
A Fully Homomorphic Encryption Scheme
A FULLY HOMOMORPHIC ENCRYPTION SCHEME A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Craig Gentry September 2009 °c Copyright by Craig Gentry 2009 All Rights Reserved ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (Dan Boneh) Principal Adviser I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (John Mitchell) I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (Serge Plotkin) Approved for the University Committee on Graduate Studies. iii Abstract We propose the ¯rst fully homomorphic encryption scheme, solving a central open problem in cryptography. Such a scheme allows one to compute arbitrary functions over encrypted data without the decryption key { i.e., given encryptions E(m1);:::;E(mt) of m1; : : : ; mt, one can e±ciently compute a compact ciphertext that encrypts f(m1; : : : ; mt) for any e±- ciently computable function f. This problem was posed by Rivest et al. in 1978. Fully homomorphic encryption has numerous applications. For example, it enables private queries to a search engine { the user submits an encrypted query and the search engine computes a succinct encrypted answer without ever looking at the query in the clear.