Security Protocols in a Nutshell
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Design and Analysis of Secure Encryption Schemes
UNIVERSITY OF CALIFORNIA, SAN DIEGO Design and Analysis of Secure Encryption Schemes A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by Michel Ferreira Abdalla Committee in charge: Professor Mihir Bellare, Chairperson Professor Yeshaiahu Fainman Professor Adriano Garsia Professor Mohan Paturi Professor Bennet Yee 2001 Copyright Michel Ferreira Abdalla, 2001 All rights reserved. The dissertation of Michel Ferreira Abdalla is approved, and it is acceptable in quality and form for publication on micro¯lm: Chair University of California, San Diego 2001 iii DEDICATION To my father (in memorian) iv TABLE OF CONTENTS Signature Page . iii Dedication . iv Table of Contents . v List of Figures . vii List of Tables . ix Acknowledgements . x Vita and Publications . xii Fields of Study . xiii Abstract . xiv I Introduction . 1 A. Encryption . 1 1. Background . 2 2. Perfect Privacy . 3 3. Modern cryptography . 4 4. Public-key Encryption . 5 5. Broadcast Encryption . 5 6. Provable Security . 6 7. Concrete Security . 7 B. Contributions . 8 II E±cient public-key encryption schemes . 11 A. Introduction . 12 B. De¯nitions . 17 1. Represented groups . 17 2. Message Authentication Codes . 17 3. Symmetric Encryption . 19 4. Asymmetric Encryption . 21 C. The Scheme DHIES . 23 D. Attributes and Advantages of DHIES . 24 1. Encrypting with Di±e-Hellman: The ElGamal Scheme . 25 2. De¯ciencies of ElGamal Encryption . 26 3. Overcoming De¯ciencies in ElGamal Encryption: DHIES . 29 E. Di±e-Hellman Assumptions . 31 F. Security against Chosen-Plaintext Attack . 38 v G. Security against Chosen-Ciphertext Attack . 41 H. ODH and SDH . -
Critical Perspectives on Provable Security: Fifteen Years of “Another Look” Papers
Advances in Mathematics of Communications doi:10.3934/amc.2019034 Volume 13, No. 4, 2019, 517{558 CRITICAL PERSPECTIVES ON PROVABLE SECURITY: FIFTEEN YEARS OF \ANOTHER LOOK" PAPERS Neal Koblitz Department of Mathematics University of Washington, USA Alfred Menezes Department of Combinatorics & Optimization University of Waterloo, Canada Abstract. We give an overview of our critiques of \proofs" of security and a guide to our papers on the subject that have appeared over the past decade and a half. We also provide numerous additional examples and a few updates and errata. 1. Introduction What does \provable security" mean? If \proof" is understood in the strict mathematical sense | as in \proof of the Pythagorean Theorem" or \proof of Fermat's Last Theorem" | then there's a simple answer: There is no such thing. \Provable security" is an oxymoron. As Benjamin Franklin said 230 years ago, \in this world nothing can be said to be certain, except death and taxes." About communications security there can be no certainty. But it is wrong to reject proofs in cryptography just because in general they do not measure up to the standards of pure mathematics. To take such an inflexible position would be, as Jonathan Katz pointed out, \snobbery at its purest" [200]. Proofs can be useful in several ways. They enforce a kind of discipline on authors so that they strive for precision, systematic approaches, and completeness. They rule out certain categories of attacks or attacks on certain parts of the protocol so that testing can focus on other types of attacks and on the assumptions made in the provable security theorem. -
Integrity, Authentication and Confidentiality in Public-Key Cryptography Houda Ferradi
Integrity, authentication and confidentiality in public-key cryptography Houda Ferradi To cite this version: Houda Ferradi. Integrity, authentication and confidentiality in public-key cryptography. Cryptography and Security [cs.CR]. Université Paris sciences et lettres, 2016. English. NNT : 2016PSLEE045. tel- 01745919 HAL Id: tel-01745919 https://tel.archives-ouvertes.fr/tel-01745919 Submitted on 28 Mar 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE DE DOCTORAT de l’Université de recherche Paris Sciences et Lettres PSL Research University Préparée à l’École normale supérieure Integrity, Authentication and Confidentiality in Public-Key Cryptography École doctorale n◦386 Sciences Mathématiques de Paris Centre Spécialité Informatique COMPOSITION DU JURY M. FOUQUE Pierre-Alain Université Rennes 1 Rapporteur M. YUNG Moti Columbia University et Snapchat Rapporteur M. FERREIRA ABDALLA Michel Soutenue par Houda FERRADI CNRS, École normale supérieure le 22 septembre 2016 Membre du jury M. CORON Jean-Sébastien Université du Luxembourg Dirigée par -
Securing Hardware, Software and Data (SHSD) • Frank Siebenlist, Argonne National Laboratory • Len Napolitano, Sandia National Laboratories
Report of the Cyber Security Research Needs for Open Science Workshop July 23-24, 2007 Sponsored by the DOE Office of Science in Cooperation with the Office of Electricity Delivery and Energy Reliability PNNL-16971 Report of the Cyber Security Research Needs for Open Science Workshop July 23-24, 2007 Sponsored by the DOE Office of Science in Cooperation with the Office of Electricity Delivery and Energy Reliability i Acknowledgements The workshop chairs wish to thank Joree O’Neal and Rachel Smith for all their help and support with organizing the logistics and registration activities for this workshop; Sue Chin, Ted Tanasse, Barbara Wilson, and Stacy Larsen for their expert help with the assembly, text editing, and graphics for this report; and Lance Baatz for his masterful job as webmaster for this project. Finally, we wish to thank the Pacific Northwest National Laboratory for supporting the development and assembly of the final report. iii EXECUTIVE SUMMARY Protecting systems and users, while maintaining ease of access, represents the “perfect storm” of challenges in the area of cyber security. A fundamental tenet of every scientific investigation is the search for truth. Trust and integrity are immutable values that are fundamental to all research endeavors. By extension, the absolute integrity of information, encompassing systems, networks, and file systems is a critical requirement essential for promoting and facilitating discovery. These qualities are equally important for our nation’s critical energy infrastructure. To determine the cyber security research needs for open science and energy control systems, the U.S. Department of Energy’s (DOE) Office of Science (SC), in cooperation with the Office of Electricity Delivery and Energy Reliability (OE), organized a two-day workshop held July 23 and 24, 2007, at the Bethesda North Marriott Hotel in Bethesda, Maryland. -
Security Notions and Definitions
Security Notions and Definitions Nicolas T. Courtois - University College of London Security Notions Part 0 Some Vocabulary Revision 2 Nicolas T. Courtois, 2006-2010 Security Notions What is Cryptography ? • Classical notions (cf. dictionaries). – Cryptography: “the art keeping messages secure”. Classically - mostly about secure communication… – Cryptanalysis: the art/science of breaking codes and ciphers . – Cryptology: Cryptography+Cryptanalysis. • These definitions are very much outdated…. 3 Nicolas T. Courtois, 2006-2010 Security Notions My Own Definitions (1): Cryptography: The art and practical techniques for achieving “data security goals” … Cryptology: The science of achieving “data security goals” … 4 Nicolas T. Courtois, 2006-2010 Security Notions Cryptanalysis from the Greek • kryptós, "hidden“ • analýein , "to loosen" or "to untie“ = Breaking (secret) codes Term coined in 1920 by William F. Friedman. 5 Nicolas T. Courtois, 2006-2010 Security Notions More Modern Approach: Cryptanalysis = evaluation of existing weak points: Challenging the security goals by attacks and showing that the security is lower than expected (does not have to recover the key in practice, just show that some claims are not justified). 6 Nicolas T. Courtois, 2006-2010 Security Notions My Own Definitions (3): Cryptology: The science that allows to justify / undermine cryptographic security. Science: establishing facts and proving theorems. Modern Cryptology: Prove the “data security goals” are achieved, while minimising the number of, and maximizing the -
Computational Complexity
Computational Complexity Salil Vadhan School of Engineering & Applied Sciences Harvard University Synonyms Complexity theory Related concepts and keywords Exponential time; O-notation; One-way function; Polynomial time; Security (Computational, Unconditional); Sub-exponential time; Definition Computational complexity theory is the study of the minimal resources needed to solve computational problems. In particular, it aims to distinguish be- tween those problems that possess efficient algorithms (the \easy" problems) and those that are inherently intractable (the \hard" problems). Thus com- putational complexity provides a foundation for most of modern cryptogra- phy, where the aim is to design cryptosystems that are \easy to use" but \hard to break". (See security (computational, unconditional).) Theory Running Time. The most basic resource studied in computational com- plexity is running time | the number of basic \steps" taken by an algorithm. (Other resources, such as space (i.e., memory usage), are also studied, but they will not be discussed them here.) To make this precise, one needs to fix a model of computation (such as the Turing machine), but here it suffices to informally think of it as the number of \bit operations" when the input is given as a string of 0's and 1's. Typically, the running time is measured as a function of the input length. For numerical problems, it is assumed the input is represented in binary, so the length of an integer N is roughly log2 N. For example, the elementary-school method for adding two n-bit numbers 1 has running time proportional to n. (For each bit of the output, we add the corresponding input bits plus the carry.) More succinctly, it is said that addition can be solved in time \order n", denoted O(n) (see O-notation). -
Introduction to Provable Security
Introduction to Provable Security Introduction to Provable Security Alejandro Hevia Dept. of Computer Science, Universidad de Chile Advanced Crypto School, Florian´opolis October 17, 2013 1/77 Introduction to Cryptography Part I Introduction 2/77 What Cryptography is about Introduction to Cryptography Classic Goals 1 Introduction to Cryptography What Cryptography is about Classic Goals 3/77 What Cryptography is about Introduction to Cryptography Classic Goals What Cryptography is about Cryptography is the discipline that studies systems (schemes, protocols) that preserve their functionality (their goal) even under the presence of an active disrupter. 4/77 What Cryptography is about Introduction to Cryptography Classic Goals What Cryptography is about Cryptography is the discipline that studies systems (schemes, protocols) that preserve their functionality (their goal) even under the presence of an active disrupter. 4/77 What Cryptography is about Introduction to Cryptography Classic Goals Classic Problems/Goals Integrity: Messages have not been altered Authenticity: Message comes from sender Secrecy: Message not known to anybody else 5/77 What Cryptography is about Introduction to Cryptography Classic Goals Integrity Alice wants to be sure that a message has not been modified. Analogy with mail We want to know that the envelope has not been opened 6/77 What Cryptography is about Introduction to Cryptography Classic Goals Authenticity There are two types: Case 1: Bob wants to interactively prove his identity to Alice. (eg. talking by phone) Case 2: Bob wants to prove his identity non-interactively to Alice. If the proof can convice a third party (judge), it's a signature. 7/77 What Cryptography is about Introduction to Cryptography Classic Goals Secrecy We want to 1 Store a document 2 Send a message We want.. -
Provable Security"
Another Look at \Provable Security" Neal Koblitz Dept. of Mathematics, Box 354350 Univ. of Washington, Seattle, WA 98195 U.S.A. [email protected] Alfred J. Menezes Dept. of Combinatorics & Optimization Univ. of Waterloo, Waterloo, Ontario N2L 3G1 Canada [email protected] July 4, 2004¤ Abstract We give an informal analysis and critique of several typical \provable security" results. In some cases there are intuitive but convincing argu- ments for rejecting the conclusions suggested by the formal terminology and \proofs," whereas in other cases the formalism seems to be consistent with common sense. We discuss the reasons why the search for mathemat- ically convincing theoretical evidence to support the security of public-key systems has been an important theme of researchers. But we argue that the theorem-proof paradigm of theoretical mathematics is often of limited relevance here and frequently leads to papers that are confusing and mis- leading. Because our paper is aimed at the general mathematical public, it is self-contained and as jargon-free as possible. Key words. Cryptography, Public Key, Provable Security AMS subject classi¯cations. 94A60, 68P25, 11T71 1 Introduction Suppose that someone is using public-key cryptography to protect credit card numbers during online purchases, maintain con¯dentiality of medical records, or safeguard national security information. How can she be sure that the system is secure? What type of evidence could convince her that a malicious adversary could not somehow break into the system and learn her secret? At ¯rst glance it seems that this question has a straightforward answer. At the heart of any public-key cryptosystem is a \one-way function" | a function ¤updated on July 16, 2004; October 25, 2004; March 31, 2005; and May 4, 2005 1 y = f(x) that is easy to evaluate but for which it is computationally infeasible to ¯nd the inverse x = f ¡1(y). -
Provable Security in Practice: Analysis of SSH and CBC Mode with Padding
Provable Security in Practice: Analysis of SSH and CBC mode with Padding Gaven James Watson Technical Report RHUL{MA{2011{2 21 February 2011 Department of Mathematics Royal Holloway, University of London Egham, Surrey TW20 0EX, England http://www.rhul.ac.uk/mathematics/techreports Provable Security in Practice: Analysis of SSH and CBC mode with Padding Gaven James Watson Thesis submitted to the University of London for the degree of Doctor of Philosophy Information Security Group Department of Mathematics Royal Holloway, University of London 2010 Declaration These doctoral studies were conducted under the supervision of Prof. Kenneth G. Paterson. The work presented in this thesis is the result of original research carried out by myself, in collaboration with others, whilst enrolled in the Department of Mathe- matics as a candidate for the degree of Doctor of Philosophy. This work has not been submitted for any other degree or award in any other university or educational establishment. Gaven James Watson June, 2010 2 Acknowledgements When I first started my PhD, I did not know where it would take me or even how much it was possible for me to achieve. I have been incredibly lucky to have worked on some interesting problems which have given birth to significant results. This has all been possible due to the excellent supervision of Prof. Kenny Paterson. His advice, constructive criticism and the odd amusing analogy have helped me, not only to develop as a researcher but have taught me a great deal about writing and presenting my work. What I have learnt will be invaluable in my future career, what- ever that may be. -
Automatically Verified Mechanized Proof of One-Encryption Key Exchange
Automatically Verified Mechanized Proof of One-Encryption Key Exchange Bruno Blanchet INRIA, Ecole´ Normale Superieure,´ CNRS Paris, France [email protected] Abstract—We present a mechanized proof of the password- Unfortunately, a security result should be considered with based protocol One-Encryption Key Exchange (OEKE) using care. As explained above, it consists of a theorem which the computationally-sound protocol prover CryptoVerif. OEKE states that under a precise intractability assumption a spe- is a non-trivial protocol, and thus mechanizing its proof provides additional confidence that it is correct. This case cific security model (goals and means of the adversary) is study was also an opportunity to implement several important satisfied. The reduction constitutes the proof of the theorem. extensions of CryptoVerif, useful for proving many other Weaknesses can appear at several steps: the intractability protocols. We have indeed extended CryptoVerif to support the assumption can be too strong, or even wrong; the security computational Diffie-Hellman assumption. We have also added model might not correspond to the expected security level; support for proofs that rely on Shoup’s lemma and additional game transformations. In particular, it is now possible to insert the reduction may not be tight; and the proof can be erro- case distinctions manually and to merge cases that no longer neous. Because of more and more complex security models need to be distinguished. Eventually, some improvements have and proofs, most of them are never (double)-checked. been added on the computation of the probability bounds for A famous example is the OAEP construction [6] that attacks, providing better reductions. -
Introduction to Provable Security in Public-Key Cryptography Contents
Introduction to Provable Security in Public-Key Cryptography Damien Vergnaud (Mathematical Foundations of Asymmetric Cryptography) Sorbonne Universit´e– CNRS – IUF Aussois, Mar. 18 2019 Provable Security in PKC Damien Vergnaud 1 / 64 Contents 1 Introduction 2 Public-Key Encryption Definitions Security Notions for Public-Key Encryption 3 Discrete-log based encryption schemes ElGamal encryption scheme Random Oracle Model and Variants of ElGamal 4 Digital signatures Definitions Security Notions for Digital Signatures 5 Discrete-log based digital signatures One-time signatures Fiat-Shamir heuristic and Schnorr Signatures Aussois, Mar. 18 2019 Provable Security in PKC Damien Vergnaud 2 / 64 Cryptography Goal: enable “secure” communication in the presence of adversaries internet, phone line, ... eavesdrops Alice Bob Eve Aussois, Mar. 18 2019 Provable Security in PKC Damien Vergnaud 3 / 64 Encryption Alice sends a ciphertext to Bob Only Bob can recover the plaintext Confidentiality To recover the plaintext Which means can be used ? to find the whole plaintext ? just the ciphertext ? to get some information some extra information ? about it ? Aussois, Mar. 18 2019 Provable Security in PKC Damien Vergnaud 4 / 64 Why “Provable Security” ? Once a cryptosystem is described, how can we prove its security? by trying to exhibit an attack by proving that no attack exists attack found under some assumptions V system insecure! attack found attack not found V false assumption V ? ”Textbook” cryptosystems cannot be used as such Pratictioners need formatting rules to ensure operability. Paddings are used in practice : heuristic security Provable security is needed in upcoming systems. This is no longer just theory. Provable security is fun! :-) Aussois, Mar. -
On Provable Security for Complex Systems
On Provable Security for Complex Systems zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften der KIT-Fakult¨atf¨urInformatik des Karlsruher Instituts f¨urTechnologie (KIT) genehmigte Dissertation von Dirk Achenbach aus Villingen-Schwenningen Tag der m¨undlichenPr¨ufung: 29. Januar 2016 Erster Gutachter: Prof. Dr. J¨ornM¨uller-Quade Zweiter Gutachter: Prof. Dr. Ralf Reussner Abstract Computers are ubiquitous. They are critical for a multitude of operations in business, government, and society. Simultaneously they become ever more complex. Consequently, while they gain in importance, it is increasingly difficult to guarantee their security. Because security is a non-functional property, it can neither be tested for, nor can a system be made secure in an ad-hoc fashion. Security can only be included as an inherent property of a system by design. We investigate the contribution of cryptographic proofs of security to a systematic security engineering process. To this end we study how to model and prove security for concrete applications in three practical domains: computer networks, data outsourcing, and electronic voting. In the first domain, computer networks, we investigate the security of a network component irrespective of the surrounding network. As a concrete application, we study how to combine several candidate firewalls to yield one provably-secure firewall, even if one candidate is compromised. Our modeling of a firewall network allows us to define security independent of a firewall's functionality. We show that a concatenation of firewalls is not secure, while a majority decision is. Second, we develop a framework for the privacy of outsourced data. Specifically, we consider privacy in the presence of queries.