Chapter 2: an Implementation of Cryptoviral Extortion Using Microsoft's Crypto API∗
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Anna Lysyanskaya Curriculum Vitae
Anna Lysyanskaya Curriculum Vitae Computer Science Department, Box 1910 Brown University Providence, RI 02912 (401) 863-7605 email: [email protected] http://www.cs.brown.edu/~anna Research Interests Cryptography, privacy, computer security, theory of computation. Education Massachusetts Institute of Technology Cambridge, MA Ph.D. in Computer Science, September 2002 Advisor: Ronald L. Rivest, Viterbi Professor of EECS Thesis title: \Signature Schemes and Applications to Cryptographic Protocol Design" Massachusetts Institute of Technology Cambridge, MA S.M. in Computer Science, June 1999 Smith College Northampton, MA A.B. magna cum laude, Highest Honors, Phi Beta Kappa, May 1997 Appointments Brown University, Providence, RI Fall 2013 - Present Professor of Computer Science Brown University, Providence, RI Fall 2008 - Spring 2013 Associate Professor of Computer Science Brown University, Providence, RI Fall 2002 - Spring 2008 Assistant Professor of Computer Science UCLA, Los Angeles, CA Fall 2006 Visiting Scientist at the Institute for Pure and Applied Mathematics (IPAM) Weizmann Institute, Rehovot, Israel Spring 2006 Visiting Scientist Massachusetts Institute of Technology, Cambridge, MA 1997 { 2002 Graduate student IBM T. J. Watson Research Laboratory, Hawthorne, NY Summer 2001 Summer Researcher IBM Z¨urich Research Laboratory, R¨uschlikon, Switzerland Summers 1999, 2000 Summer Researcher 1 Teaching Brown University, Providence, RI Spring 2008, 2011, 2015, 2017, 2019; Fall 2012 Instructor for \CS 259: Advanced Topics in Cryptography," a seminar course for graduate students. Brown University, Providence, RI Spring 2012 Instructor for \CS 256: Advanced Complexity Theory," a graduate-level complexity theory course. Brown University, Providence, RI Fall 2003,2004,2005,2010,2011 Spring 2007, 2009,2013,2014,2016,2018 Instructor for \CS151: Introduction to Cryptography and Computer Security." Brown University, Providence, RI Fall 2016, 2018 Instructor for \CS 101: Theory of Computation," a core course for CS concentrators. -
Malicious Cryptography: Kleptographic Aspects
Malicious Cryptography: Kleptographic Aspects Adam Young1 and Moti Yung2 1 Cigital Labs [email protected] 2 Dept. of Computer Science, Columbia University [email protected] Abstract. In the last few years we have concentrated our research ef- forts on new threats to the computing infrastructure that are the result of combining malicious software (malware) technology with modern cryp- tography. At some point during our investigation we ended up asking ourselves the following question: what if the malware (i.e., Trojan horse) resides within a cryptographic system itself? This led us to realize that in certain scenarios of black box cryptography (namely, when the code is inaccessible to scrutiny as in the case of tamper proof cryptosystems or when no one cares enough to scrutinize the code) there are attacks that employ cryptography itself against cryptographic systems in such a way that the attack possesses unique properties (i.e., special advantages that attackers have such as granting the attacker exclusive access to crucial information where the exclusive access privelege holds even if the Trojan is reverse-engineered). We called the art of designing this set of attacks “kleptography.” In this paper we demonstrate the power of kleptography by illustrating a carefully designed attack against RSA key generation. Keywords: RSA, Rabin, public key cryptography, SETUP, kleptogra- phy, random oracle, security threats, attacks, malicious cryptography. 1 Introduction Robust backdoor attacks against cryptosystems have received the attention of the cryptographic research community, but to this day have not influenced in- dustry standards and as a result the industry is not as prepared for them as it could be. -
Cyber Security Cryptography and Machine Learning
Lecture Notes in Computer Science 12716 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA More information about this subseries at http://www.springer.com/series/7410 Shlomi Dolev · Oded Margalit · Benny Pinkas · Alexander Schwarzmann (Eds.) Cyber Security Cryptography and Machine Learning 5th International Symposium, CSCML 2021 Be’er Sheva, Israel, July 8–9, 2021 Proceedings Editors Shlomi Dolev Oded Margalit Ben-Gurion University of the Negev Ben-Gurion University of the Negev Be’er Sheva, Israel Be’er Sheva, Israel Benny Pinkas Alexander Schwarzmann Bar-Ilan University Augusta University Tel Aviv, Israel Augusta, GA, USA ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-78085-2 ISBN 978-3-030-78086-9 (eBook) https://doi.org/10.1007/978-3-030-78086-9 LNCS Sublibrary: SL4 – Security and Cryptology © Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. -
CHURP: Dynamic-Committee Proactive Secret Sharing
CHURP: Dynamic-Committee Proactive Secret Sharing Sai Krishna Deepak Maram∗† Cornell Tech Fan Zhang∗† Lun Wang∗ Andrew Low∗ Cornell Tech UC Berkeley UC Berkeley Yupeng Zhang∗ Ari Juels∗ Dawn Song∗ Texas A&M Cornell Tech UC Berkeley ABSTRACT most important resources—money, identities [6], etc. Their loss has We introduce CHURP (CHUrn-Robust Proactive secret sharing). serious and often irreversible consequences. CHURP enables secure secret-sharing in dynamic settings, where the An estimated four million Bitcoin (today worth $14+ Billion) have committee of nodes storing a secret changes over time. Designed for vanished forever due to lost keys [69]. Many users thus store their blockchains, CHURP has lower communication complexity than pre- cryptocurrency with exchanges such as Coinbase, which holds at vious schemes: O¹nº on-chain and O¹n2º off-chain in the optimistic least 10% of all circulating Bitcoin [9]. Such centralized key storage case of no node failures. is also undesirable: It erodes the very decentralization that defines CHURP includes several technical innovations: An efficient new blockchain systems. proactivization scheme of independent interest, a technique (using An attractive alternative is secret sharing. In ¹t;nº-secret sharing, asymmetric bivariate polynomials) for efficiently changing secret- a committee of n nodes holds shares of a secret s—usually encoded sharing thresholds, and a hedge against setup failures in an efficient as P¹0º of a polynomial P¹xº [73]. An adversary must compromise polynomial commitment scheme. We also introduce a general new at least t +1 players to steal s, and at least n−t shares must be lost technique for inexpensive off-chain communication across the peer- to render s unrecoverable. -
Improved Threshold Signatures, Proactive Secret Sharing, and Input Certification from LSS Isomorphisms
Improved Threshold Signatures, Proactive Secret Sharing, and Input Certification from LSS Isomorphisms Diego F. Aranha1, Anders Dalskov2, Daniel Escudero1, and Claudio Orlandi1 1 Aarhus University, Denmark 2 Partisia, Denmark Abstract. In this paper we present a series of applications steming from a formal treatment of linear secret-sharing isomorphisms, which are linear transformations between different secret-sharing schemes defined over vector spaces over a field F and allow for efficient multiparty conversion from one secret-sharing scheme to the other. This concept generalizes the folklore idea that moving from a secret-sharing scheme over Fp to a secret sharing \in the exponent" can be done non-interactively by multiplying the share unto a generator of e.g., an elliptic curve group. We generalize this idea and show that it can also be used to compute arbitrary bilinear maps and in particular pairings over elliptic curves. We include the following practical applications originating from our framework: First we show how to securely realize the Pointcheval-Sanders signature scheme (CT-RSA 2016) in MPC. Second we present a construc- tion for dynamic proactive secret-sharing which outperforms the current state of the art from CCS 2019. Third we present a construction for MPC input certification using digital signatures that we show experimentally to outperform the previous best solution in this area. 1 Introduction A(t; n)-secure secret-sharing scheme allows a secret to be distributed into n shares in such a way that any set of at most t shares are independent of the secret, but any set of at least t + 1 shares together can completely reconstruct the secret. -
Cryptovirology: Extortion-Based Security Threats and Countermeasures
Crypt ovirology : Extortion-Based Security Threats and Countermeasures* Adam Young Moti Yung Dept. of Computer Science, IBM T.J. Wi3tson Research Center Columbia University. Yorktown Heights, NY 1.0598. Abstract atomic fission is to energy production), because it al- lows people to store information securely and to con- Traditionally, cryptography and its applications are duct private communications over large distances. It defensive in nature, and provide privacy, authen tica- is therefore natural to ask, “What are the potential tion, and security to users. In this paper we present the harmful uses of Cryptograplhy?” We believe that it is idea of Cryptovirology which employs a twist on cryp- better to investigate this aspect rather than to wait tography, showing that it can also be used offensively. for such att,acks to occur. In this paper we attempt By being offensive we mean that it can be used to a first step in this directioin by presenting a set of mount extortion based attacks that cause loss of access cryptographiy-exploiting computer security attacks and to information, loss of confidentiality, and inform,ation potential countermeasures. leakage, tasks which cryptography typically prevents. In this paper we analyze potential threats and attacks The set of attacks that we present involve the that rogue use of cryptography can cause when com- unique use of strong (public key and symmetric) cryp- tographic techniques in conjunction with computer bined with rogue software (viruses, Trojan horses), and virus and Trojan horse technology. They demon- demonstrate them experimentally by presenting an im- strate how cryptography (namely, difference in com- plementation of a cryptovirus that we have tested (we putational capability) can allow an adversarial virus took careful precautions in the process to insure that writer to gain explicit access control over the data the virus remained contained). -
Malicious Cryptography Exposing Cryptovirology
Malicious Cryptography Exposing Cryptovirology Adam Young Moti Yung Wiley Publishing, Inc. Malicious Cryptography Malicious Cryptography Exposing Cryptovirology Adam Young Moti Yung Wiley Publishing, Inc. Executive Publisher: Robert Ipsen Executive Editor: Carol A. Long Developmental Editor: Eileen Bien Calabro Editorial Manager: Kathryn A. Malm Production Manager: Fred Bernardi This book is printed on acid-free paper. Copyright c 2004 by Adam Young and Moti Yung. All rights reserved. Published by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system, or trans- mitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clear- ance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470. Requests to the Publisher for permission should be addressed to the Legal Department, Wiley Publishing, Inc., 10475 Crosspoint Blvd., Indianapolis, IN 46256, (317) 572-3447, fax (317) 572-4447, E-mail: [email protected]. Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specif- ically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. -
Efficient Dynamic-Resharing “Verifiable Secret Sharing” Against Mobile Adversary
Efficient Dynamic-Resharing \Verifiable Secret Sharing" Against Mobile Adversary Noga Alon∗ Zvi Galily Moti Yungz March 25, 1995 Abstract We present a novel efficient variant of Verifiable Secret Sharing (VSS) where the dealing of shares is dynamically refreshed (without changing or corrupting the secret) against the threat of the recently considered mobile adversary that may control all the trustees, but only a bounded number thereof at any time period. VSS enables a dealer to distribute its secret to a set of trustees, so that they are assured that the sharing is valid and that they can open it later, and further no small group of trustees can open it prematurely. Recently, such sharing of cryptographic tools gained much attention, e.g., in the context of \escrowed cryptography" where a user enables a group of trustees to potentially open its information (when authorized by the court). Our dynamic-sharing VSS allows for mobile adversary attacking different sets of trustees at different time periods (modeling, e.g., network viruses that get spread as well as get killed). Technically, we concentrate on simple direct methods that are combinatorial and number- theoretic in nature, and employ only simple public-key functions (and no other cryptographic tools as did previous methods). We also present constant round protocols (e.g., a single round VSS) and do not use general (polynomial time, but inefficient) tools. We essentially reduce n out of t < n=2 VSS to n out-of n one (assuming ex-or homomorphic encryption), then we reduce dynamic resharing VSS to static VSS, finally we reduce proactive VSS (dynamic VSS with no dealer presence after sharing) to our dynamic resharing VSS. -
Multi-Authority Secret-Ballot Elections with Linear Work
In Advances in Cryptology|EUROCRYPT'96, Vol. 1070 of Lecture Notes in Computer Science, Springer-Verlag, 1996. pp. 72-83. Multi-Authority Secret-Ballot Elections with Linear Work Ronald Cramer? Matthew Franklin?? Berry Schoenmakers??? Moti Yungy Abstract. We present new cryptographic protocols for multi-authority secret ballot elections that guarantee privacy, robustness, and univer- sal verifiability. Application of some novel techniques, in particular the construction of witness hiding/indistinguishable protocols from Cramer, Damg˚ardand Schoenmakers, and the verifiable secret sharing scheme of Pedersen, reduce the work required by the voter or an authority to a linear number of cryptographic operations in the population size (com- pared to quadratic in previous schemes). Thus we get significantly closer to a practical election scheme. 1 Introduction An electronic voting scheme is viewed as a set of protocols that allow a collection of voters to cast their votes, while enabling a collection of authorities to collect the votes, compute the final tally, and communicate the final tally that is checked by talliers. In the cryptographic literature on voting schemes, three important requirements are identified: Universal Verifiability ensures that any party, including a passive observer, can convince herself that the election is fair, i.e., that the published final tally is computed fairly from the ballots that were correctly cast. Privacy ensures that an individual vote will be kept secret from any (reasonably sized) coalition of parties that does not include the voter herself. Robustness ensures that the system can recover from the faulty behavior of any (reasonably sized) coalition of parties. The main contribution of this paper is to present an efficient voting scheme that satisfies universal verifiability, privacy and robustness. -
Verifiable Secret Redistribution for Threshold Sharing Schemes
Verifiable Secret Redistribution for Threshold Sharing Schemes Theodore M. Wong Chenxi Wang1 Jeannette M. Wing February 2002 CMU-CS-02-114 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Abstract We present a new protocol for verifiably redistributing secrets from an (m; n) threshold sharing scheme to an (m0; n0) scheme. Our protocol guards against dynamic adversaries. We observe that existing protocols either cannot be readily extended to allow redistribution between different threshold schemes, or have vul- nerabilities that allow faulty old shareholders to distribute invalid shares to new shareholders. Our primary contribution is that in our protocol, new shareholders can verify the validity of their shares after redistribu- tion between different threshold schemes. 1Department of Electrical and Computer Engineering, [email protected] This research is sponsored by the Defense Advanced Research Projects Agency (DARPA), Advanced Technology Office, under the title “Organically Assured and Survivable Information Systems (OASIS)” (Air Force Coop. Agreement no. F30602-00-2-0523). The views and conclusions contained in this document are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of DARPA or the U.S. Government. Keywords: non-interactive verifiable secret redistribution, threshold sharing schemes, threshold cryp- tography 1 Introduction Threshold cryptography protocols provide fundamental building blocks for secure distributed computation and the safeguarding of secrets. The area of threshold cryptography has been studied extensively since its introduction by Blakley and Shamir [Bla79, Sha79]. Two categories of threshold protocols, proactive secret sharing (PSS) protocols and secret redistribution protocols, provide enhanced protection against dynamic adversaries ([OY91]). -
Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum
Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI Nishanth Chandran1, Nishka Dasgupta1, Divya Gupta1, Sai Lakshmi Bhavana Obbattu1, Sruthi Sekar2, and Akash Shah1 1 Microsoft Research, Bangalore fnichandr, t-nidasg, divya.gupta, t-saobb, [email protected] 2 Indian Institute of Science, Bangalore [email protected] Abstract. Multiparty Private Set Intersection (mPSI), enables n parties, each holding private sets (each of size m) to compute the intersection of these private sets, without revealing any other information to each other. While several protocols for this task are known, the only concretely efficient protocol is due to the work of Kolesnikov et al. (KMPRT, CCS 2017), who gave a semi- honest secure protocol with communication complexity O(nmtλ), where t < n is the number of corrupt parties and λ is the security parameter. In this work, we make the following contributions: − First, for the natural adversarial setting of semi-honest honest majority (i.e. t < n=2), we asymptotically improve upon the above result and provide a concretely efficient protocol with total communication of O(nmλ). − Second, concretely, our protocol has 6(t + 2)=5 times lesser communication than KMPRT and is upto 5× and 6:2× faster than KMPRT in the LAN and WAN setting even for 15 parties. − Finally, we introduce and consider two important variants of mPSI - circuit PSI (that allows the parties to compute a function over the intersection set without revealing the intersection itself) and quorum PSI (that allows P1 to learn all the elements in his/her set that are present in at least k other sets) and provide concretely efficient protocols for these variants. -
Tal G. Malkin
Tal G. Malkin Department of Computer Science Phone: +1-212-939-7097 Columbia University Fax: +1-212-666-0140 500 West 120th Street MC0401 [email protected] New York, NY 10027 http://www.cs.columbia.edu/∼tal Education Massachusetts Institute of Technology Cambridge, MA Ph.D. in Computer Science, February 2000. Thesis: \A Study of Secure Database Access and General Two-Party Computation". Advisor: Prof. Shafi Goldwasser. The Weizmann Institute of Science Rehovot, Israel M.Sc. in Computer Science, January 1995. Thesis: \Deductive Tableaux for Temporal Logic". Advisor: Prof. Amir Pnueli. Bar-Ilan University Ramat-Gan, Israel B.S. summa cum laude in Mathematics and Computer Science, January 1993. Employment Columbia University, New York, NY March 2020 { Current Professor, Department of Computer Science Columbia University, New York, NY July 2018 { Current Chair of Education Track, Columbia-IBM Center for Blockchain and Data Trans- parency Columbia University, New York, NY December 2009 { February 2020 Associate Professor, Department of Computer Science Columbia University, New York, NY April 2016 { June 2018 Co-chair, Cybersecurity Center, Data Science Institute (DSI) Bar-Ilan University, Ramat-Gan, Israel August 2013 { July 2014 Visiting Research Professor Columbia University, New York, NY October 2012 { August 2013 Inagural Chair, Cybersecurity Center, Data Science Institute (DSI) Microsoft Research, Redmond, MA August 2009 Consultant, Cryptography Group Columbia University, New York, NY January 2003 { November 2009 Assistant Professor, Department of Computer Science AT&T Labs, Florham Park, NJ December 1999 { December 2002 Senior Research Scientist, Secure Systems Research Department. Tal G. Malkin page 2 IBM T.J. Watson Research Center, Hawthorne, NY Summer 1998 Summer Intern, Cryptography Group, Networking Systems and Security Department.