Public Key Cryptography Diffie-Hellman Key Establishment
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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. -
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 -
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. -
Authentication in Key-Exchange: Definitions, Relations and Composition
Authentication in Key-Exchange: Definitions, Relations and Composition Cyprien Delpech de Saint Guilhem1;2, Marc Fischlin3, and Bogdan Warinschi2 1 imec-COSIC, KU Leuven, Belgium 2 Dept Computer Science, University of Bristol, United Kingdom 3 Computer Science, Technische Universit¨atDarmstadt, Germany [email protected], [email protected], [email protected] Abstract. We present a systematic approach to define and study authentication notions in authenti- cated key-exchange protocols. We propose and use a flexible and expressive predicate-based definitional framework. Our definitions capture key and entity authentication, in both implicit and explicit vari- ants, as well as key and entity confirmation, for authenticated key-exchange protocols. In particular, we capture critical notions in the authentication space such as key-compromise impersonation resis- tance and security against unknown key-share attacks. We first discuss these definitions within the Bellare{Rogaway model and then extend them to Canetti{Krawczyk-style models. We then show two useful applications of our framework. First, we look at the authentication guarantees of three representative protocols to draw several useful lessons for protocol design. The core technical contribution of this paper is then to formally establish that composition of secure implicitly authenti- cated key-exchange with subsequent confirmation protocols yields explicit authentication guarantees. Without a formal separation of implicit and explicit authentication from secrecy, a proof of this folklore result could not have been established. 1 Introduction The commonly expected level of security for authenticated key-exchange (AKE) protocols comprises two aspects. Authentication provides guarantees on the identities of the parties involved in the protocol execution. -
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. -
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. -
Implementation and Performance Evaluation of XTR Over Wireless Network
Implementation and Performance Evaluation of XTR over Wireless Network By Basem Shihada [email protected] Dept. of Computer Science 200 University Avenue West Waterloo, Ontario, Canada (519) 888-4567 ext. 6238 CS 887 Final Project 19th of April 2002 Implementation and Performance Evaluation of XTR over Wireless Network 1. Abstract Wireless systems require reliable data transmission, large bandwidth and maximum data security. Most current implementations of wireless security algorithms perform lots of operations on the wireless device. This result in a large number of computation overhead, thus reducing the device performance. Furthermore, many current implementations do not provide a fast level of security measures such as client authentication, authorization, data validation and data encryption. XTR is an abbreviation of Efficient and Compact Subgroup Trace Representation (ECSTR). Developed by Arjen Lenstra & Eric Verheul and considered a new public key cryptographic security system that merges high level of security GF(p6) with less number of computation GF(p2). The claim here is that XTR has less communication requirements, and significant computation advantages, which indicate that XTR is suitable for the small computing devices such as, wireless devices, wireless internet, and general wireless applications. The hoping result is a more flexible and powerful secure wireless network that can be easily used for application deployment. This project presents an implementation and performance evaluation to XTR public key cryptographic system over wireless network. The goal of this project is to develop an efficient and portable secure wireless network, which perform a variety of wireless applications in a secure manner. The project literately surveys XTR mathematical and theoretical background as well as system implementation and deployment over wireless network. -
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. -
Key Improvements to XTR
To appear in Advances in Cryptology|Asiacrypt 2000, Lecture Notes in Computer Science 1976, Springer-Verlag 2000, 220-223. Key improvements to XTR Arjen K. Lenstra1, Eric R. Verheul2 1 Citibank, N.A., Technical University Eindhoven, 1 North Gate Road, Mendham, NJ 07945-3104, U.S.A., [email protected] 2 PricewaterhouseCoopers, GRMS Crypto Group, Goudsbloemstraat 14, 5644 KE Eindhoven, The Netherlands, Eric.Verheul@[nl.pwcglobal.com, pobox.com] Abstract. This paper describes improved methods for XTR key rep- resentation and parameter generation (cf. [4]). If the ¯eld characteristic is properly chosen, the size of the XTR public key for signature appli- cations can be reduced by a factor of three at the cost of a small one time computation for the recipient of the key. Furthermore, the para- meter set-up for an XTR system can be simpli¯ed because the trace of a proper subgroup generator can, with very high probability, be com- puted directly, thus avoiding the probabilistic approach from [4]. These non-trivial extensions further enhance the practical potential of XTR. 1 Introduction In [1] it was shown that conjugates of elements of a subgroup of GF(p6)¤ of order 2 dividing Á6(p) = p ¡ p + 1 can be represented using 2 log2(p) bits, as opposed to the 6 log2(p) bits that would be required for their traditional representation. In [4] an improved version of the method from [1] was introduced that achieves the same communication advantage at a much lower computational cost. The resulting representation method is referred to as XTR, which stands for E±cient and Compact Subgroup Trace Representation. -
Elliptic Curves in Public Key Cryptography: the Diffie Hellman
Elliptic Curves in Public Key Cryptography: The Diffie Hellman Key Exchange Protocol and its relationship to the Elliptic Curve Discrete Logarithm Problem Public Key Cryptography Public key cryptography is a modern form of cryptography that allows different parties to exchange information securely over an insecure network, without having first to agree upon some secret key. The main use of public key cryptography is to provide information security in computer science, for example to transfer securely email, credit card details or other secret information between sender and recipient via the internet. There are three steps involved in transferring information securely from person A to person B over an insecure network. These are encryption of the original information, called the plaintext, transfer of the encrypted message, or ciphertext, and decryption of the ciphertext back into plaintext. Since the transfer of the ciphertext is over an insecure network, any spy has access to the ciphertext and thus potentially has access to the original information, provided he is able to decipher the message. Thus, a successful cryptosystem must be able encrypt the original message in such a way that only the intended receiver can decipher the ciphertext. The goal of public key cryptography is to make the problem of deciphering the encrypted message too difficult to do in a reasonable time (by say brute-force) unless certain key facts are known. Ideally, only the intended sender and receiver of a message should know these certain key facts. Any certain piece of information that is essential in order to decrypt a message is known as a key. -
Efficient Encryption on Limited Devices
Rochester Institute of Technology RIT Scholar Works Theses 2006 Efficient encryption on limited devices Roderic Campbell Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Campbell, Roderic, "Efficient encryption on limited devices" (2006). Thesis. Rochester Institute of Technology. Accessed from This Master's Project is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Masters Project Proposal: Efficient Encryption on Limited Devices Roderic Campbell Department of Computer Science Rochester Institute of Technology Rochester, NY, USA [email protected] June 24, 2004 ________________________________________ Chair: Prof. Alan Kaminsky Date ________________________________________ Reader: Prof. Hans-Peter Bischof Date ________________________________________ Observer: Prof. Leonid Reznik Date 1 1 Summary As the capstone of my Master’s education, I intend to perform a comparison of Elliptic Curve Cryptography(ECC) and The XTR Public Key System to the well known RSA encryption algorithm. The purpose of such a project is to provide a further understanding of such types of encryption, as well as present an analysis and recommendation for the appropriate technique for given circumstances. This comparison will be done by developing a series of tests on which to run identical tasks using each of the previously mentioned algorithms. Metrics such as running time, maximum and average memory usage will be measured as applicable. There are four main goals of Crypto-systems: Confidentiality, Data Integrity, Authentication and Non-repudiation[5]. This implementation deals only with confidentiality of symmetric key exchange. -
Solving NTRU Challenges Using the New Progressive BKZ Library
Solving NTRU Challenges Using the New Progressive BKZ Library Erik Mårtensson Department of Electrical and Information Technology Lund University Advisors: Professor Thomas Johansson and Qian Guo 2016-08-24 Printed in Sweden E-huset, Lund, 2016 Abstract NTRU is a public-key cryptosystem, where the underlying mathematical problem is currently safe against large-scale quantum computer attacks. The system is not as well investigated, as for example RSA and the company behind NTRU has created the NTRU Challenges, to remedy this. These challenges consist of 27 different public keys of increasing size, where the task in each challenge is to calculate (something similar to) the private key. The goal of this thesis was to examine different attacks against the NTRU Challenges and solve as many challenges as possible. By lattice reduction attacks, using a recently published new progressive BKZ algorithm, the first five challenges were solved, while the current biggest solved challenge by any researcher is challenge number seven. Keywords: NTRU Challenge, Progressive BKZ , BDD, Enumeration, SVP i ii Acknowledgements I would like to thank my main supervisor Professor Thomas Johansson for all his help and feedback during the project, for introducing me to the lattice-based cryptography area and last but not least for pointing out the necessity of solving a small problem correctly before tackling a big problem. I would like to thank my assistant supervisor Qian Guo for all his help and feed- back during the project and for introducing me to the progressive BKZ algorithm that turned out to become the focus of this thesis. I would like to thank all the researchers that patiently answered my many ques- tions during this project, with special thanks to Yoshinori Aono, Léo Ducas and Zhenfei Zhang for answering questions regarding the progressive BKZ algorithm and library, the BKZ plus BDD enumeration strategy for attacking NTRU and the NTRU Challenges respectively.