2.1 - a Short History of Cryptography
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4 Information Theory
Jay Daigle Occidental College Math 400: Cryptology 4 Information Theory Definition 4.1. A (symmetric) encryption system is composed of: • A set of possible messages M • A set of possible keys K • A set of possible ciphertexts C • An encryption function e : K × M ! C • A decryption function d : K × C ! M such that the decryption function is a partial inverse to the encryption function: that is d(k; e(k; m)) = m e(k; d(k; c)) = c: −1 We often write ek(m) = e(k; m) and dk(c) = d(k; c). Thus for each k 2 K, dk = ek . This implies that each ek is one-to-one. Of course, some encryption systems are terrible. To be good, we'd like our cryptosystem to have the following properties: 1. Given any k 2 K; m 2 M, it's easy to compute e(k; m). 2. Given any k 2 K; c 2 C, it's easy to compute d(k; c). 3. Given a set of ciphertexts ci 2 C, it's difficult to compute dk(ci) without knowing k. 4. Given a collection of pairs (mi; ci), it's difficult to decrypt a ciphertext whose plaintext is not already known. (\known-plaintext attack"). The first two principles make a cryptosystem practically usable; the third and fourth make it secure. The fourth property is by far the most difficult to achieve. You'll notice that all of the cryptosystems we've studied so far satisfy the first two properties, and several of them do at least okay on the third, none of them achieve the fourth at all. -
Amy Bell Abilene, TX December 2005
Compositional Cryptology Thesis Presented to the Honors Committee of McMurry University In partial fulfillment of the requirements for Undergraduate Honors in Math By Amy Bell Abilene, TX December 2005 i ii Acknowledgements I could not have completed this thesis without all the support of my professors, family, and friends. Dr. McCoun especially deserves many thanks for helping me to develop the idea of compositional cryptology and for all the countless hours spent discussing new ideas and ways to expand my thesis. Because of his persistence and dedication, I was able to learn and go deeper into the subject matter than I ever expected. My committee members, Dr. Rittenhouse and Dr. Thornburg were also extremely helpful in giving me great advice for presenting my thesis. I also want to thank my family for always supporting me through everything. Without their love and encouragement I would never have been able to complete my thesis. Thanks also should go to my wonderful roommates who helped to keep me motivated during the final stressful months of my thesis. I especially want to thank my fiancé, Gian Falco, who has always believed in me and given me so much love and support throughout my college career. There are many more professors, coaches, and friends that I want to thank not only for encouraging me with my thesis, but also for helping me through all my pursuits at school. Thank you to all of my McMurry family! iii Preface The goal of this research was to gain a deeper understanding of some existing cryptosystems, to implement these cryptosystems in a computer programming language of my choice, and to discover whether the composition of cryptosystems leads to greater security. -
9 Purple 18/2
THE CONCORD REVIEW 223 A VERY PURPLE-XING CODE Michael Cohen Groups cannot work together without communication between them. In wartime, it is critical that correspondence between the groups, or nations in the case of World War II, be concealed from the eyes of the enemy. This necessity leads nations to develop codes to hide their messages’ meanings from unwanted recipients. Among the many codes used in World War II, none has achieved a higher level of fame than Japan’s Purple code, or rather the code that Japan’s Purple machine produced. The breaking of this code helped the Allied forces to defeat their enemies in World War II in the Pacific by providing them with critical information. The code was more intricate than any other coding system invented before modern computers. Using codebreaking strategy from previous war codes, the U.S. was able to crack the Purple code. Unfortunately, the U.S. could not use its newfound knowl- edge to prevent the attack at Pearl Harbor. It took a Herculean feat of American intellect to break Purple. It was dramatically intro- duced to Congress in the Congressional hearing into the Pearl Harbor disaster.1 In the ensuing years, it was discovered that the deciphering of the Purple Code affected the course of the Pacific war in more ways than one. For instance, it turned out that before the Americans had dropped nuclear bombs on Japan, Purple Michael Cohen is a Senior at the Commonwealth School in Boston, Massachusetts, where he wrote this paper for Tom Harsanyi’s United States History course in the 2006/2007 academic year. -
Secure Communications One Time Pad Cipher
Cipher Machines & Cryptology © 2010 – D. Rijmenants http://users.telenet.be/d.rijmenants THE COMPLETE GUIDE TO SECURE COMMUNICATIONS WITH THE ONE TIME PAD CIPHER DIRK RIJMENANTS Abstract : This paper provides standard instructions on how to protect short text messages with one-time pad encryption. The encryption is performed with nothing more than a pencil and paper, but provides absolute message security. If properly applied, it is mathematically impossible for any eavesdropper to decrypt or break the message without the proper key. Keywords : cryptography, one-time pad, encryption, message security, conversion table, steganography, codebook, message verification code, covert communications, Jargon code, Morse cut numbers. version 012-2011 1 Contents Section Page I. Introduction 2 II. The One-time Pad 3 III. Message Preparation 4 IV. Encryption 5 V. Decryption 6 VI. The Optional Codebook 7 VII. Security Rules and Advice 8 VIII. Appendices 17 I. Introduction One-time pad encryption is a basic yet solid method to protect short text messages. This paper explains how to use one-time pads, how to set up secure one-time pad communications and how to deal with its various security issues. It is easy to learn to work with one-time pads, the system is transparent, and you do not need special equipment or any knowledge about cryptographic techniques or math. If properly used, the system provides truly unbreakable encryption and it will be impossible for any eavesdropper to decrypt or break one-time pad encrypted message by any type of cryptanalytic attack without the proper key, even with infinite computational power (see section VII.b) However, to ensure the security of the message, it is of paramount importance to carefully read and strictly follow the security rules and advice (see section VII). -
The Enigma History and Mathematics
The Enigma History and Mathematics by Stephanie Faint A thesis presented to the University of Waterloo in fulfilment of the thesis requirement for the degree of Master of Mathematics m Pure Mathematics Waterloo, Ontario, Canada, 1999 @Stephanie Faint 1999 I hereby declare that I am the sole author of this thesis. I authorize the University of Waterloo to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize the University of Waterloo to reproduce this thesis by pho tocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. 11 The University of Waterloo requires the signatures of all persons using or pho tocopying this thesis. Please sign below, and give address and date. ill Abstract In this thesis we look at 'the solution to the German code machine, the Enigma machine. This solution was originally found by Polish cryptologists. We look at the solution from a historical perspective, but most importantly, from a mathematical point of view. Although there are no complete records of the Polish solution, we try to reconstruct what was done, sometimes filling in blanks, and sometimes finding a more mathematical way than was originally found. We also look at whether the solution would have been possible without the help of information obtained from a German spy. IV Acknowledgements I would like to thank all of the people who helped me write this thesis, and who encouraged me to keep going with it. In particular, I would like to thank my friends and fellow grad students for their support, especially Nico Spronk and Philippe Larocque for their help with latex. -
Committee on National Security Systems (CNSS) Glossary
Committee on National Security Systems CNSSI No. 4009 April 6, 2015 Committee on National Security Systems (CNSS) Glossary THIS DOCUMENT PRESCRIBES MINIMUM STANDARDS YOUR DEPARTMENT OR AGENCY MAY REQUIRE FURTHER IMPLEMENTATION 1 National Manager FOREWORD 1. The Committee on National Security Systems (CNSS) Glossary Working Group convened to review and update the Committee on National Security Systems (CNSS) Glossary, Committee on National Security Systems Instruction (CNSSI) No. 4009, dated April 2010. This revision of CNSSI No. 4009 incorporates many new terms submitted by the CNSS Membership. Most of the terms from the 2010 version of the Glossary remain, but a number of terms have updated definitions in order to remove inconsistencies among the communities. 2. The Glossary Working Group set several overall objectives for itself in producing this version: . Use authoritative sources for definitions of terms. It is preferred that definitions originate from current authoritative sources, as this demonstrates both that the term is in active use and that the definition has been vetted by subject matter experts. Listing sources for terms also provides context and a reference for additional information. The glossary still contains terms where sources are not specified. For these terms, definitions will be considered organic. The majority of unsourced terms are from the CNSSI No. 4009 (2010) version, although some are newly introduced. These new terms are primarily emerging terms judged to be valuable to include in the glossary, but for whatever reason have not yet been defined in a published authoritative source. Continue to resolve differences between the definitions of terms used by the Department of Defense (DoD), Intelligence Community (IC), and Civil Agencies (e.g. -
Vigen`Ere Cipher – Friedman's Attack
Statistics 116 - Fall 2002 Breaking the Code Lecture # 5 – Vigen`ere Cipher – Friedman’s Attack Jonathan Taylor 1 Index of Coincidence In this lecture, we will discuss a more “automated” approach to guessing the keyword length in the Vigen`erecipher. The procedure is based on what we will call the index of coincidence of two strings of text S1 and S2 of a given length n. The index of coincidence is just the proportion of positions in the strings where the corresponding characters of the two strings match, and is defined for the strings S1 = (s11, s12, . , s1n) and S2 = (s21, s22, . , s2n) n 1 X I(S ,S ) = δ(s , s ) 1 2 n 1i 2i i=1 where the function ( 1 if x = y δ(x, y) = 0 otherwise. Now, in our situation we have to imagine that the string we observe is “random”. Suppose then, that S1 and S2 are two random strings generated by choosing letters at random with the frequencies (p0, . , p25) and (q0, . , q25), respectively. If the strings are random we can talk about the “average” index of coincidence of the two strings S1 and S2. In statistics, if we have a random quantity X we write E(X) for the “expectation” or “average” of X. It is not difficult to show that if S1 is a string of random letters with frequencies (p0, . , p25) and (q0, . , q25) then the average index of coincidence of these two strings is given by 25 X piqi. (1) i=0 1 This is because, for any of the letters in the string, the probability that the two characters match is the probability that they are both A’s, both B’s, . -
Loads of Codes – Cryptography Activities for the Classroom
Loads of Codes – Cryptography Activities for the Classroom Paul Kelley Anoka High School Anoka, Minnesota In the next 90 minutes, we’ll look at cryptosystems: Caesar cipher St. Cyr cipher Tie-ins with algebra Frequency distribution Vigenere cipher Cryptosystem – an algorithm (or series of algorithms) needed to implement encryption and decryption. For our purposes, the words encrypt and encipher will be used interchangeably, as will decrypt and decipher. The idea behind all this is that you want some message to get somewhere in a secure fashion, without being intercepted by “the bad guys.” Code – a substitution at the level of words or phrases Cipher – a substitution at the level of letters or symbols However, I think “Loads of Codes” sounds much cooler than “Loads of Ciphers.” Blackmail = King = Today = Capture = Prince = Tonight = Protect = Minister = Tomorrow = Capture King Tomorrow Plaintext: the letter before encryption Ciphertext: the letter after encryption Rail Fence Cipher – an example of a “transposition cipher,” one which doesn’t change any letters when enciphered. Example: Encipher “DO NOT DELAY IN ESCAPING,” using a rail fence cipher. You would send: DNTEAIECPN OODLYNSAIG Null cipher – not the entire message is meaningful. My aunt is not supposed to read every epistle tonight. BXMT SSESSBW POE ILTWQS RIA QBTNMAAD OPMNIKQT RMI MNDLJ ALNN BRIGH PIG ORHD LLTYQ BXMT SSESSBW POE ILTWQS RIA QBTNMAAD OPMNIKQT RMI MNDLJ ALNN BRIGH PIG ORHD LLTYQ Anagram – use the letters of one word, phrase or sentence to form a different one. Example: “Meet behind the castle” becomes “These belched a mitten.” Substitution cipher – one in which the letters change during encryption. -
Code-Based Cryptography — ECRYPT-CSA Executive School on Post-Quantum Cryptography
Code-based Cryptography | ECRYPT-CSA Executive School on Post-Quantum Cryptography 2017 TU Eindhoven | Nicolas Sendrier Linear Codes for Telecommunication linear expansion data - codeword ? k n > k noisy channel data? noisy codeword decoding [Shannon, 1948] (for a binary symmetric channel of error rate p): k Decoding probability −! 1 if = R < 1 − h(p) n (h(p) = −p log2 p − (1 − p) log2(1 − p) the binary entropy function) Codes of rate R can correct up to λn errors (λ = h−1(1 − R)) For instance 11% of errors for R = 0:5 Non constructive −! no poly-time algorithm for decoding in general N. Sendrier { Code-Based Public-Key Cryptography 1/44 Random Codes Are Hard to Decode When the linear expansion is random: • Decoding is NP-complete [Berlekamp, McEliece & van Tilborg, 78] • Even the tiniest amount of error is (believed to be) hard to re- move. Decoding n" errors is conjectured difficult on average for any " > 0 [Alekhnovich, 2003]. N. Sendrier { Code-Based Public-Key Cryptography 2/44 Codes with Good Decoders Exist Coding theory is about finding \good" codes (i.e. linear expansions) n • alternant codes have a poly-time decoder for Θ errors log n • some classes of codes have a poly-time decoder for Θ(n) errors (algebraic geometry, expander graphs, concatenation, . ) N. Sendrier { Code-Based Public-Key Cryptography 3/44 Linear Codes for Cryptography linear expansion plaintext - codeword ? k n > k intentionally add errors plaintext ciphertext decoding • If a random linear code is used, no one can decode efficiently • If a \good" code is used, anyone who knows the structure has access to a fast decoder Assuming that the knowledge of the linear expansion does not reveal the code structure: • The linear expansion is public and anyone can encrypt • The decoder is known to the legitimate user who can decrypt • For anyone else, the code looks random N. -
Analysis of Stream Ciphers Based on Theoretic Approach
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Impact Factor (2012): 3.358 Analysis of Stream Ciphers Based on Theoretic Approach Shisif Pokhrel1, Ahmed Abdul Kadhim Basheer2 1Jawaharlal Nehru Technological University Hyderabad, Andhra Pradesh, Hyderabad, Kukatpally - 500085 2Jawaharlal Nehru Technological University Hyderabad, Andhra Pradesh, Hyderabad, Kukatpally - 500085 Abstract: This paper is intended to determine the strength of modern security systems by theoretic approach. The design of existing security system is based on complexity of algorithm and secrecy of key. Besides, several parameters exists that may be useful to determine the strength of cryptosystem. Spurious keys gives text like text as decrypted output to a cryptogram and leads to confusion in proceeding towards unique solution during cryptanalysis. A system rich in spurious keys can be considered as more secured system. This paper presents analysis on stream ciphers and provides a construct model with rich spurious keys. The paper also shows the effect of implementation of Natural Language Model in security system Keywords: Cryptosystem, Cryptogram, Spurious Keys, Code-Points, Unicity Distance 1. Introduction Cryptography is a major tool concerned with security of information. The core of cryptography deals with key establishment and secured communication. The secret key is implemented for encryption and decryption. A basic convention exists in cryptography that the algorithm is public, cant be kept hidden to the attacker and the secrecy of the system solely depend on the secrecy of key and complexity of algorithm. However, there are different parameters defined in information theory of secrecy system like Entropy, Redundancy, Unicity Distance, Equivocation, which describe the strength of cryptosystem. -
Decrypt Cryptotexts: GBLVMUB JOGPSNBUJLZ VMNIR RPNBMZ EBMFLP OFABKEFT Decrypt: VHFUHW GH GHXA VHFUHW GH GLHX, VHFUHW GH WURLV VH
PROLOGUE - I. Decrypt cryptotexts: Part IV GBLVMUB JOGPSNBUJLZ Secret-key cryptosystems VMNIR RPNBMZ EBMFLP OFABKEFT prof. Jozef Gruska IV054 4. Secret-key cryptosystems 2/99 PROLOGUE - II. CHAPTER 4: SECRET-KEY (SYMMETRIC) CRYPTOGRAPHY Decrypt: In this chapter we deal with some of the very old, or quite old, classical (secret-key or symmetric) cryptosystems and their cryptanalysis that were primarily used in the pre-computer era. VHFUHW GH GHXA These cryptosystems are too weak nowadays, too easy to break, especially VHFUHW GH GLHX, with computers. However, these simple cryptosystems give a good illustration of several of the VHFUHW GH WURLV important ideas of the cryptography and cryptanalysis. Moreover, most of them can be very useful in combination with more modern VHFUHW GH WRXV. cryptosystem - to add a new level of security. prof. Jozef Gruska IV054 4. Secret-key cryptosystems 3/99 prof. Jozef Gruska IV054 4. Secret-key cryptosystems 4/99 BASICS CRYPTOLOGY - HISTORY + APPLICATIONS Cryptology (= cryptography + cryptanalysis) has more than four thousand years long history. Some historical observation People have always had fascination with keeping information away from others. Some people – rulers, diplomats, military people, businessmen – have always had needs to keep some information away from others. BASICS Importance of cryptography nowadays Applications: cryptography is the key tool to make modern information transmission secure, and to create secure information society. Foundations: cryptography gave rise to several new key concepts of the foundation of informatics: one-way functions, computationally perfect pseudorandom generators, zero-knowledge proofs, holographic proofs, program self-testing and self-correcting, . prof. Jozef Gruska IV054 4. Secret-key cryptosystems 5/99 prof. -
Introduction to Cryptography with Open-Source Software
DISCRETE MATHEMATICS AND ITS APPLICATIONS Series Editor KENNETH H. ROSEN INTRODUCTION TO CRYPTOGRAPHY WITH OPEN-SOURCE SOFTWARE Alasdair McAndrew Victoria University Melbourne, Victoria, Australia CRC Press Taylor &. Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business A CHAPMAN & HALL BOOK Contents Preface xv 1 Introduction to cryptography 1 1.1 Hiding information: Confidentiality 1 1.2 Some basic definitions 3 1.3 Attacks on a cryptosystem 5 1.4 Some cryptographic problems 7 1.5 Cryptographic protocols 8 1.6 Some simple ciphers 12 1.7 Cryptography and computer security 18 1.8 Glossary 19 Exercises 20 2 Basic number theory 23 2.1 Introduction 23 2.2 Some basic definitions 23 2.3 Some number theoretic calculations 27 2.4 Primality testing 44 2.5 Glossary 47 Exercises 48 3 Classical cryptosystems 55 3.1 Introduction 55 3.2 The Caesar cipher 56 3.3 Translation ciphers 57 3.4 Transposition ciphers 58 3.5 The Vigenere cipher 61 3.6 The one-time pad 65 3.7 Permutation ciphers 65 3.8 Matrix ciphers 66 3.9 Glossary 71 Exercises 71 4 Introduction to information theory 79 4.1 Entropy and uncertainty 79 ix X 4.2 Perfect secrecy 82 4.3 Estimating the entropy of English 84 4.4 Unicity distance 88 4.5 Glossary • 89 Exercises 89 5 Public-key cryptosystems based on factoring 93 5.1 Introduction 93 93 5.2 The RSA cryptosystem . 5.3 Attacks against RSA 99 5.4 RSA in Sage 101 5.5 Rabin's cryptosystem 104 5.6 Rabin's cryptosystem in Sage 109 5.7 Some notes on security HI 5.8 Factoring H2 5.9