Fragments of a Chapter on Encryption Schemes

Total Page:16

File Type:pdf, Size:1020Kb

Fragments of a Chapter on Encryption Schemes Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Fragments of a chapter on Encryption Schemes Extracts from Foundations of Cryptography in preparation revised second p osted version Oded Goldreich Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot Israel June Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. I to Dana c Copyright by Oded Goldreich Permission to make copies of part or all of this work for p ersonal or classro om use is granted without fee provided that copies are not made or distributed for prot or commercial advantage and that new copies b ear this notice and the full citation on the rst page Abstracting with credit is p ermitted Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. II Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Preface The current manuscript consists of fragments of a chapter on encryption schemes which is supp ose to b e Chapter of the threevolume work Foundations of Cryp tography These fragments provide a draft of the rst three sections of this chap ter covering the basic setting denitions and constructions Also included is a plan of the fourth section ie beyond eavesdropping security and fragments for the Miscellaneous section of this chapter This manuscript subsumes a previous version p osted in Dec The bigger picture The current manuscript consists of fragments of a chap ter on encryption schemes which is supp ose to constitute Chapter of the threepart work Foundations of Cryptography see Figure The three parts of this work are Basic Tools Basic Applications and Beyond the Basics The rst part containing Chapters has b een published by Cambridge University Press in June The second part consists of Chapters regarding En cryptioni Schemes Signatures Schemes and General Cryptographic Proto cols resp ectively We hop e to publish the second part with Cambridge University Press within a few years Part Introduction and Basic Tools Chapter Introduction Chapter Computational Diculty OneWay Functions Chapter Pseudorandom Generators Chapter ZeroKnowledge Pro ofs Part Basic Applications Chapter Encryption Schemes Chapter Signature Schemes Chapter General Cryptographic Proto cols Part Beyond the Basics Figure Organization of this work III Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. IV The partition of the work into three parts is a logical one Furthermore it oers the advantage of publishing the rst part without waiting for the comple tion of the other parts Similarly we hop e to complete the second part within a couple of years and publish it without waiting for the third part Prerequisites The most relevant background for this text is provided by basic knowledge of algorithms including randomized ones computability and elementary probability theory Background on computational number theory which is required for sp ecic implementations of certain constructs is not really required here Using this text The text is intended as part of a work that is aimed to serve b oth as a textb o ok and a reference text That is it is aimed at serving b oth the b eginner and the exp ert In order to achieve this aim the presentation of the basic material is very detailed so to allow a typical CSundergraduate to follow it An advanced student and certainly an exp ert will nd the pace in these parts way to o slow However an attempt was made to allow the latter reader to easily skip details obvious to himher In particular pro ofs are typically presented in a mo dular way We start with a highlevel sketch of the main ideas and only later pass to the technical details Passage from highlevel descriptions to lower level details is typically marked by phrases such as details fol low In a few places we provide straightforward but tedious details in in dented paragraphs as this one In some other even fewer places such paragraphs provide technical pro ofs of claims that are of marginal rele vance to the topic of the b o ok More advanced material is typically presented at a faster pace and with less details Thus we hop e that the attempt to satisfy a wide range of readers will not harm any of them Teaching The material presented in the full threevolume work is on one hand way b eyond what one may want to cover in a course and on the other hand falls very short of what one may want to know ab out Cryptography in general To assist these conicting needs we make a distinction b etween basic and advanced material and provide suggestions for further reading in the last section of each chapter In particular sections subsections and subsubsections marked by an asterisk are intended for advanced reading Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Table of Contets Preface III Encryption Schemes The Basic Setting PrivateKey versus PublicKey Schemes The Syntax of Encryption Schemes Denitions of Security Semantic Security The actual denitions Further discussion of some denitional choices Indistinguishability of Encryptions Equivalence of the Security Denitions Pro of of Prop osition Pro of of Prop osition Multiple Messages Denitions The eect on the publickey mo del The eect on the privatekey mo del A uniformcomplexity treatment The denitions Equivalence of the multiplemessage denitions Singlemessage versus multiplemessage The gain of a uniform treatment Constructions of Secure Encryption Schemes Probabilistic Encryption StreamCiphers Preliminaries Blo ckCiphers Privatekey encryption schemes Publickey encryption schemes Simple schemes An alternative scheme Beyond eavesdropping security Keydep endent passive attacks Chosen plaintext attack V Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Chosen ciphertext attack Nonmalleable encryption schemes Miscellaneous Historical Notes Suggestion for Further Reading Op en Problems Exercises Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Part II Basic Applications Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. Chapter Encryption Schemes Upto the s Cryptography was understo o d as the art of building encryption schemes that is the art of constructing schemes allowing secret data exchange over insecure channels Since the s other tasks eg signature schemes have b een recognized as falling within the domain of Cryptography and even as b eing at least as central to Cryptography Yet the construction of encryption schemes remains and is likely to remain a central enterprise of Cryptography In this chapter we review the wellknown notions of privatekey and public key encryption schemes More imp ortantly we dene what is meant by saying that such schemes are secure It turns out that using randomness throughout the encryption pro cess ie not only at the keygeneration phase is essential to security We present some basic constructions of secure privatekey and public key encryption schemes Finally we discuss dynamic notions of security culminating in robustness against chosen ciphertext attacks Authors Note Currently the writeup contains only a rough draft for the rst sections of this chapter Furthermore this writeup was NOT carefully pro ofread and may contain various hop efully minor errors Teaching Tip We assume that the reader is familiar with the material in previous chapters and sp ecically with Sections and This familiarity is imp ortant not only b ecause we use some of the notions and results presented in these sections but rather b ecause we use similar pro of tech niques and do it while assuming that this is not the readers rst encounter with these techniques The Basic Setting Lo osely sp eaking encryption schemes are supp osed to enable private communi cation b etween parties that communicate over an insecure channel Thus the Extracted from a working draft of Goldreich's FOUNDATIONS OF CRYPTOGRAPHY. See copyright notice. CHAPTER ENCRYPTION SCHEMES basic setting consists of a sender a receiver and an insecure channel that may b e tapp ed by an adversary The goal is to allow the sender to transfer infor mation to the receiver over the insecure channel without letting the adversary gure out this information Thus we distinguish b etween the actual secret information that the receiver wishes to transmit and the messages sent over the insecure communication channel The former is called the plaintext whereas the latter is called the ciphertext Clearly the ciphertext must dier from the plaintext or else the adversary can easily obtain
Recommended publications
  • On the Foundations of Cryptography∗
    On the Foundations of Cryptography∗ Oded Goldreich Department of Computer Science Weizmann Institute of Science Rehovot, Israel. [email protected] May 6, 2019 Abstract We survey the main paradigms, approaches and techniques used to conceptualize, define and provide solutions to natural cryptographic problems. We start by presenting some of the central tools used in cryptography; that is, computational difficulty (in the form of one-way functions), pseudorandomness, and zero-knowledge proofs. Based on these tools, we turn to the treatment of basic cryptographic applications such as encryption and signature schemes as well as the design of general secure cryptographic protocols. Our presentation assumes basic knowledge of algorithms, probability theory and complexity theory, but nothing beyond this. Keywords: Cryptography, Theory of Computation. ∗This revision of the primer [59] will appear as Chapter 17 in an ACM book celebrating the work of Goldwasser and Micali. 1 Contents 1 Introduction and Preliminaries 1 1.1 Introduction.................................... ............... 1 1.2 Preliminaries ................................... ............... 4 I Basic Tools 6 2 Computational Difficulty and One-Way Functions 6 2.1 One-WayFunctions................................ ............... 6 2.2 Hard-CorePredicates . .. .. .. .. .. .. .. ................ 9 3 Pseudorandomness 11 3.1 Computational Indistinguishability . ....................... 11 3.2 PseudorandomGenerators. ................. 12 3.3 PseudorandomFunctions . ...............
    [Show full text]
  • Draft Lecture Notes
    CS-282A / MATH-209A Foundations of Cryptography Draft Lecture Notes Winter 2010 Rafail Ostrovsky UCLA Copyright © Rafail Ostrovsky 2003-2010 Acknowledgements: These lecture notes were produced while I was teaching this graduate course at UCLA. After each lecture, I asked students to read old notes and update them according to the lecture. I am grateful to all of the students who participated in this massive endeavor throughout the years, for asking questions, taking notes and improving these lecture notes each time. Table of contents PART 1: Overview, Complexity classes, Weak and Strong One-way functions, Number Theory Background. PART 2: Hard-Core Bits. PART 3: Private Key Encryption, Perfectly Secure Encryption and its limitations, Semantic Security, Pseudo-Random Generators. PART 4: Implications of Pseudo-Random Generators, Pseudo-random Functions and its applications. PART 5: Digital Signatures. PART 6: Trapdoor Permutations, Public-Key Encryption and its definitions, Goldwasser-Micali, El-Gamal and Cramer-Shoup cryptosystems. PART 7: Interactive Proofs and Zero-Knowledge. PART 8: Bit Commitment Protocols in different settings. PART 9: Non-Interactive Zero Knowledge (NIZK) PART 10: CCA1 and CCA2 Public Key Encryption from general Assumptions: Naor-Yung, DDN. PART 11: Non-Malleable Commitments, Non-Malleable NIZK. PART 12: Multi-Server PIR PART 13: Single-Server PIR, OT, 1-2-OT, MPC, Program Obfuscation. PART 14: More on MPC including GMW and BGW protocols in the honest-but-curious setting. PART 15: Yao’s garbled circuits, Efficient ZK Arguments, Non-Black-Box Zero Knowledge. PART 16: Remote Secure Data Storage (in a Cloud), Oblivious RAMs. CS 282A/MATH 209A: Foundations of Cryptography °c 2006-2010 Prof.
    [Show full text]
  • How to Encipher Messages on a Small Domain Deterministic Encryption and the Thorp Shuffle
    How to Encipher Messages on a Small Domain Deterministic Encryption and the Thorp Shuffle Ben Morris1, Phillip Rogaway2, and Till Stegers2 1 Dept. of Mathematics, University of California, Davis, California 95616, USA 2 Dept. of Computer Science, University of California, Davis, California 95616, USA Abstract. We analyze the security of the Thorp shuffle, or, equivalently, a maximally unbalanced Feistel network. Roughly said, the Thorp shuffle on N cards mixes any N 1−1/r of them in O(r lg N) steps. Correspond- ingly, making O(r) passes of maximally unbalanced Feistel over an n-bit string ensures CCA-security to 2n(1−1/r) queries. Our results, which em- ploy Markov-chain techniques, enable the construction of a practical and provably-secure blockcipher-based scheme for deterministically encipher- ing credit card numbers and the like using a conventional blockcipher. 1 Introduction Small-space encryption. Suppose you want to encrypt a 9-decimal-digit plaintext, say a U.S. social-security number, into a ciphertext that is again a 9-decimal-digit number. A shared key K is used to control the encryption. Syn- tactically, you seek a cipher E: K×M → M where M = {0, 1,...,N− 1}, 9 N =10 ,andEK = E(K, ·) is a permutation for each key K ∈K. You aim to construct your scheme from a well-known primitive, say AES, and to prove your scheme is as secure as the primitive from which you start. The problem is harder than it sounds. You can’t just encode each plaintext M ∈Mas a 128-bit string and then apply AES, say, as that will return a 128-bit string and projecting back onto M will destroy permutivity.
    [Show full text]
  • Stdin (Ditroff)
    - 50 - Foundations of Cryptography Notes of lecture No. 5B (given on Apr. 2nd) Notes taken by Eyal Kushilevitz Summary In this (half) lecture we introduce and define the concept of secure encryption. (It is assumed that the reader is familiar with the notions of private-key and public-key encryption, but we will define these notions too for the sake of self-containment). 1. Secure encryption - motivation. Secure encryption is one of the fundamental problems in the field of cryptography. One of the important results of this field in the last years, is the success to give formal definitions to intuitive concepts (such as secure encryption), and the ability to suggest efficient implementations to such systems. This ability looks more impressive when we take into account the strong requirements of these definitions. Loosely speaking, an encryption system is called "secure", if seeing the encrypted message does not give any partial information about the message, that is not known beforehand. We describe here the properties that we would like the definition of encryption system to capture: g Computational hardness - As usual, the definition should deal with efficient procedures. That is, by saying that the encryption does not give any partial information about the message, we mean that no efficient algorithm is able to gain such an information Clearly, we also require that the encryption and decryption procedures will be efficient. g Security with respect to any probability distribution of messages - The encryption system should be secure independently of the probability distribution of the messages we encrypt. For example: we do not want a system which is secure with respect to messages taken from a uniform distribution, but not secure with respect to messages written in English.
    [Show full text]
  • On One-Way Functions and Kolmogorov Complexity
    On One-way Functions and Kolmogorov Complexity Yanyi Liu Rafael Pass∗ Cornell University Cornell Tech [email protected] [email protected] September 25, 2020 Abstract We prove that the equivalence of two fundamental problems in the theory of computing. For every polynomial t(n) ≥ (1 + ")n; " > 0, the following are equivalent: • One-way functions exists (which in turn is equivalent to the existence of secure private-key encryption schemes, digital signatures, pseudorandom generators, pseudorandom functions, commitment schemes, and more); • t-time bounded Kolmogorov Complexity, Kt, is mildly hard-on-average (i.e., there exists a t 1 polynomial p(n) > 0 such that no PPT algorithm can compute K , for more than a 1 − p(n) fraction of n-bit strings). In doing so, we present the first natural, and well-studied, computational problem characterizing the feasibility of the central private-key primitives and protocols in Cryptography. arXiv:2009.11514v1 [cs.CC] 24 Sep 2020 ∗Supported in part by NSF Award SATC-1704788, NSF Award RI-1703846, AFOSR Award FA9550-18-1-0267, and a JP Morgan Faculty Award. This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via 2019-19-020700006. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein.
    [Show full text]
  • On One-Way Functions and Kolmogorov Complexity
    On One-way Functions and Kolmogorov Complexity Yanyi Liu Rafael Pass∗ Cornell University Cornell Tech [email protected] [email protected] September 24, 2020 Abstract We prove that the equivalence of two fundamental problems in the theory of computing. For every polynomial t(n) ≥ (1 + ")n; " > 0, the following are equivalent: • One-way functions exists (which in turn is equivalent to the existence of secure private-key encryption schemes, digital signatures, pseudorandom generators, pseudorandom functions, commitment schemes, and more); • t-time bounded Kolmogorov Complexity, Kt, is mildly hard-on-average (i.e., there exists a t 1 polynomial p(n) > 0 such that no PPT algorithm can compute K , for more than a 1 − p(n) fraction of n-bit strings). In doing so, we present the first natural, and well-studied, computational problem characterizing the feasibility of the central private-key primitives and protocols in Cryptography. ∗Supported in part by NSF Award SATC-1704788, NSF Award RI-1703846, AFOSR Award FA9550-18-1-0267, and a JP Morgan Faculty Award. This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via 2019-19-020700006. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. 1 Introduction We prove the equivalence of two fundamental problems in the theory of computing: (a) the exis- tence of one-way functions, and (b) mild average-case hardness of the time-bounded Kolmogorov Complexity problem.
    [Show full text]
  • Provably Secure Steganography
    IEEE TRANSACTIONS ON COMPUTERS, VOL. 58, NO. X, XXX 2009 1 Provably Secure Steganography Nicholas Hopper, Luis von Ahn, and John Langford Abstract—Steganography is the problem of hiding secret messages in “innocent-looking” public communication so that the presence of the secret messages cannot be detected. This paper introduces a cryptographic formalization of steganographic security in terms of computational indistinguishability from a channel, an indexed family of probability distributions on cover messages. We use cryptographic and complexity-theoretic proof techniques to show that the existence of one-way functions and the ability to sample from the channel are necessary conditions for secure steganography. We then construct a steganographic protocol, based on rejection sampling from the channel, that is provably secure and has nearly optimal bandwidth under these conditions. This is the first known example of a general provably secure steganographic protocol. We also give the first formalization of “robust” steganography, where an adversary attempts to remove any hidden messages without unduly disrupting the cover channel. We give a necessary condition on the amount of disruption the adversary is allowed in terms of a worst case measure of mutual information. We give a construction that is provably secure and computationally efficient and has nearly optimal bandwidth, assuming repeatable access to the channel distribution. Index Terms—Steganography, covert channels, provable security. Ç 1INTRODUCTION classic problem of computer security is the mitigation Steganographic “protocols” have a long and intriguing Aof covert channels. First introduced by Lampson [1], a history that predates covert channels, stretching back to covert channel in a (single-host or distributed) computer antiquity.
    [Show full text]
  • Deterministic Encryption with the Thorp Shuffle
    J Cryptol (2018) 31:521–536 https://doi.org/10.1007/s00145-017-9262-z Deterministic Encryption with the Thorp Shuffle Ben Morris Department of Mathematics, University of California, Davis, CA 95616, USA Phillip Rogaway and Till Stegers∗ Department of Computer Science, University of California, Davis, CA 95616, USA [email protected] Communicated by Kenneth Paterson. Received 3 April 2011 / Revised 26 July 2017 Online publication 25 August 2017 Abstract. We analyze the security of the Thorp shuffle, or, equivalently, a maximally unbalanced Feistel network. Roughly said, the Thorp shuffle on N cards mixes any − / N 1 1 r of them in O(r lg N) steps. Correspondingly, making O(r) passes of maximally ( − / ) unbalanced Feistel over an n-bit string ensures CCA security to 2n 1 1 r queries. Our results, which employ Markov chain techniques, particularly couplings, help to justify a practical, although still relatively inefficient, blockcipher-based scheme for deterministically enciphering credit card numbers and the like. Keywords. Card shuffling, Coupling, Format-preserving encryption, Modes of oper- ation, Symmetric encryption, Thorp shuffle, Unbalanced Feistel network. 1. Introduction 1.1. Small-Space Encryption Suppose you want to encrypt a 9-decimal-digit plaintext, say a US social security number, into a ciphertext that is again a 9-decimal-digit number. A shared key K is used to control the encryption. Syntactically, you seek a cipher E: K × M → M where M = 9 {0, 1,...,N −1}, N = 10 , and EK = E(K, ·) is a permutation for each key K ∈ K. You aim to construct your scheme from a well-known primitive, say AES, and to prove your scheme is as secure as the primitive from which you start.
    [Show full text]
  • Thesis Proposal: Toward a Theory of Steganography
    Thesis Proposal: Toward a Theory of Steganography Nicholas Hopper School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Abstract Informally, steganography refers to the practice of hiding secret messages in communications over a public channel so that an eavesdropper (who listens to all communications) cannot even tell that a secret message is being sent. In contrast to the active literature proposing new ad hoc steganographic protocols and analyzing flaws in existing protocols, there has been very little work on formalizing steganographic notions of security, and none giving complete, rigorous proofs of security in any non-trivial model. My thesis will initiate the study of steganography from a complexity-theoretic point of view. Mod- elling the communication between two parties as a probabilistic channel, I will introduce several different steganographic security properties, and for each of these properties, attempt to determine the necessary and sufficient conditions under which secure steganography is possible. Furthermore, I propose to investigate the open question \How much information can be safely encoded by a stegosystem?"[3] by proving an upper bound MAX on the bit rate of any secure, uni- versal stegosystem; and giving a protocol which achieves rate Ω(MAX), thus providing a universal stegosystem of approximately optimal rate. 1 Introduction The scientific study of steganography in the open literature began in 1983 when Simmons [11] stated the problem in terms of communication in a prison. In his formulation, two inmates, Alice and Bob, are trying to hatch an escape plan. The only way they can communicate with each other is through a public channel, which is carefully monitored by the warden of the prison, Ward.
    [Show full text]
  • Multi Collision Resistant Hash Functions and Their Applications∗
    Electronic Colloquium on Computational Complexity, Report No. 97 (2017) Multi Collision Resistant Hash Functions and their Applications∗ Itay Berman Akshay Degwekar Ron D. Rothblum Prashant Nalini Vasudevan May 30, 2017 Abstract Collision resistant hash functions are functions that shrink their input, but for which it is computationally infeasible to find a collision, namely two strings that hash to the same value (although collisions are abundant). In this work we study multi-collision resistant hash functions (MCRH) a natural relaxation of collision resistant hash functions in which it is difficult to find a t-way collision (i.e., t strings that hash to the same value) although finding (t − 1)-way collisions could be easy. We show the following: • The existence of MCRH follows from the average case hardness of a variant of Entropy Approximation, a problem known to be complete for the class NISZK. • MCRH imply the existence of constant-round statistically hiding (and computationally binding) commitment schemes. In addition, we show a blackbox separation of MCRH from any one-way permutation. ∗MIT. Emails: {itayberm, akshayd, ronr, prashvas}@mit.edu. Research supported in part by NSF Grants CNS-1413920 and CNS-1350619, and by the Defense Advanced Research Projects Agency (DARPA) and the U.S. Army Research Office under contracts W911NF-15-C-0226 and W911NF-15-C-0236. ISSN 1433-8092 Contents 1 Introduction 1 1.1 Our Results.........................................2 1.2 Related Works.......................................3 1.3 Our Techniques.......................................4 2 Preliminaries 10 2.1 Many-wise Independent Hashing............................. 11 2.2 Load Balancing....................................... 11 3 Constructing MCRH Families 12 3.1 Entropy Approximation.................................
    [Show full text]
  • Simultaneous Secrecy and Reliability Amplification for a General Channel
    Simultaneous Secrecy and Reliability Amplification for a General Channel Model Russell Impagliazzo1, Ragesh Jaiswal2, Valentine Kabanets3, Bruce M. Kapron4, Valerie King4, and Stefano Tessaro5 1 University of California, San Diego [email protected] 2 Indian Institute of Technology Delhi [email protected] 3 Simon Fraser University [email protected] 4 University of Victoria [email protected], [email protected] 5 University of California, Santa Barbara [email protected] Abstract. We present a general notion of channel for cryptographic purposes, which can model either a (classical) physical channel or the consequences of a cryptographic protocol, or any hybrid. We consider simultaneous secrecy and reliability amplification for such channels. We show that simultaneous secrecy and reliability amplification is not pos- sible for the most general model of channel, but, at least for some values of the parameters, it is possible for a restricted class of channels that still includes both standard information-theoretic channels and keyless cryptographic protocols. Even in the restricted model, we require that for the original channel, the failure chance for the attacker must be a factor c more than that for the intended receiver. We show that for any c > 4, there is a one-way protocol (where the sender sends information to the receiver only) which achieves simultaneous secrecy and reliability. From results of Holenstein and Renner (CRYPTO'05 ), there are no such one-way protocols for c < 2. On the other hand, we also show that for c > 1:5, there are two-way protocols that achieve simultaneous secrecy and reliability.
    [Show full text]
  • Deterministic Encryption: Definitional Equivalences and Constructions Without Random Oracles
    A preliminary version of this paper appears in Advances in Cryptology – CRYPTO ‘08, Lecture Notes in Computer Science vol. xx, D. Wagner ed., Springer-Verlag, 2008. This is the full version. Deterministic Encryption: Definitional Equivalences and Constructions without Random Oracles MIHIR BELLARE∗ MARC FISCHLINy ADAM O’NEILLz THOMAS RISTENPARTx February 17, 2009 Abstract We strengthen the foundations of deterministic public-key encryption via definitional equivalences and standard-model constructs based on general assumptions. Specifically we consider seven notions of privacy for deterministic encryption, including six forms of semantic security and an indistinguishability notion, and show them all equivalent. We then present a deterministic scheme for the secure encryption of uniformly and independently distributed messages based solely on the existence of trapdoor one-way permutations. We show a generalization of the construction that allows secure deterministic encryption of independent high-entropy messages. Finally we show relations between deterministic and standard (randomized) encryption. ∗ Dept. of Computer Science & Engineering 0404, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0404, USA. Email: [email protected]. URL: http://www.cs.ucsd.edu/˜mihir. Supported in part by NSF grants CNS 0524765 and CNS 0627779 and a gift from Intel Corporation. y Dept. of Computer Science, Darmstadt University of Technology, Hochschulstrasse 10, 64289 Darmstadt, Germany. Email: [email protected]. URL: http://www.fischlin.de. Supported in part by the Emmy Noether Program Fi 940/2-1 of the German Research Foundation (DFG). z College of Computing, Georgia Institute of Technology, 801 Atlantic Drive, Atlanta, GA 30332, USA. Email: [email protected].
    [Show full text]