Chapter 13 Attacks on Cryptosystems
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Classical Encryption Techniques
CPE 542: CRYPTOGRAPHY & NETWORK SECURITY Chapter 2: Classical Encryption Techniques Dr. Lo’ai Tawalbeh Computer Engineering Department Jordan University of Science and Technology Jordan Dr. Lo’ai Tawalbeh Fall 2005 Introduction Basic Terminology • plaintext - the original message • ciphertext - the coded message • key - information used in encryption/decryption, and known only to sender/receiver • encipher (encrypt) - converting plaintext to ciphertext using key • decipher (decrypt) - recovering ciphertext from plaintext using key • cryptography - study of encryption principles/methods/designs • cryptanalysis (code breaking) - the study of principles/ methods of deciphering ciphertext Dr. Lo’ai Tawalbeh Fall 2005 1 Cryptographic Systems Cryptographic Systems are categorized according to: 1. The operation used in transferring plaintext to ciphertext: • Substitution: each element in the plaintext is mapped into another element • Transposition: the elements in the plaintext are re-arranged. 2. The number of keys used: • Symmetric (private- key) : both the sender and receiver use the same key • Asymmetric (public-key) : sender and receiver use different key 3. The way the plaintext is processed : • Block cipher : inputs are processed one block at a time, producing a corresponding output block. • Stream cipher: inputs are processed continuously, producing one element at a time (bit, Dr. Lo’ai Tawalbeh Fall 2005 Cryptographic Systems Symmetric Encryption Model Dr. Lo’ai Tawalbeh Fall 2005 2 Cryptographic Systems Requirements • two requirements for secure use of symmetric encryption: 1. a strong encryption algorithm 2. a secret key known only to sender / receiver •Y = Ek(X), where X: the plaintext, Y: the ciphertext •X = Dk(Y) • assume encryption algorithm is known •implies a secure channel to distribute key Dr. -
MD5 Collisions the Effect on Computer Forensics April 2006
Paper MD5 Collisions The Effect on Computer Forensics April 2006 ACCESS DATA , ON YOUR RADAR MD5 Collisions: The Impact on Computer Forensics Hash functions are one of the basic building blocks of modern cryptography. They are used for everything from password verification to digital signatures. A hash function has three fundamental properties: • It must be able to easily convert digital information (i.e. a message) into a fixed length hash value. • It must be computationally impossible to derive any information about the input message from just the hash. • It must be computationally impossible to find two files to have the same hash. A collision is when you find two files to have the same hash. The research published by Wang, Feng, Lai and Yu demonstrated that MD5 fails this third requirement since they were able to generate two different messages that have the same hash. In computer forensics hash functions are important because they provide a means of identifying and classifying electronic evidence. Because hash functions play a critical role in evidence authentication, a judge and jury must be able trust the hash values to uniquely identify electronic evidence. A hash function is unreliable when you can find any two messages that have the same hash. Birthday Paradox The easiest method explaining a hash collision is through what is frequently referred to as the Birthday Paradox. How many people one the street would you have to ask before there is greater than 50% probability that one of those people will share your birthday (same day not the same year)? The answer is 183 (i.e. -
Index-Of-Coincidence.Pdf
The Index of Coincidence William F. Friedman in the 1930s developed the index of coincidence. For a given text X, where X is the sequence of letters x1x2…xn, the index of coincidence IC(X) is defined to be the probability that two randomly selected letters in the ciphertext represent, the same plaintext symbol. For a given ciphertext of length n, let n0, n1, …, n25 be the respective letter counts of A, B, C, . , Z in the ciphertext. Then, the index of coincidence can be computed as 25 ni (ni −1) IC = ∑ i=0 n(n −1) We can also calculate this index for any language source. For some source of letters, let p be the probability of occurrence of the letter a, p be the probability of occurrence of a € b the letter b, and so on. Then the index of coincidence for this source is 25 2 Isource = pa pa + pb pb +…+ pz pz = ∑ pi i=0 We can interpret the index of coincidence as the probability of randomly selecting two identical letters from the source. To see why the index of coincidence gives us useful information, first€ note that the empirical probability of randomly selecting two identical letters from a large English plaintext is approximately 0.065. This implies that an (English) ciphertext having an index of coincidence I of approximately 0.065 is probably associated with a mono-alphabetic substitution cipher, since this statistic will not change if the letters are simply relabeled (which is the effect of encrypting with a simple substitution). The longer and more random a Vigenere cipher keyword is, the more evenly the letters are distributed throughout the ciphertext. -
Network Security Chapter 8
Network Security Chapter 8 Network security problems can be divided roughly into 4 closely intertwined areas: secrecy (confidentiality), authentication, nonrepudiation, and integrity control. Question: what does non-repudiation mean? What does “integrity” mean? • Cryptography • Symmetric-Key Algorithms • Public-Key Algorithms • Digital Signatures • Management of Public Keys • Communication Security • Authentication Protocols • Email Security -- skip • Web Security • Social Issues -- skip Revised: August 2011 CN5E by Tanenbaum & Wetherall, © Pearson Education-Prentice Hall and D. Wetherall, 2011 Network Security Security concerns a variety of threats and defenses across all layers Application Authentication, Authorization, and non-repudiation Transport End-to-end encryption Network Firewalls, IP Security Link Packets can be encrypted on data link layer basis Physical Wireless transmissions can be encrypted CN5E by Tanenbaum & Wetherall, © Pearson Education-Prentice Hall and D. Wetherall, 2011 Network Security (1) Some different adversaries and security threats • Different threats require different defenses CN5E by Tanenbaum & Wetherall, © Pearson Education-Prentice Hall and D. Wetherall, 2011 Cryptography Cryptography – 2 Greek words meaning “Secret Writing” Vocabulary: • Cipher – character-for-character or bit-by-bit transformation • Code – replaces one word with another word or symbol Cryptography is a fundamental building block for security mechanisms. • Introduction » • Substitution ciphers » • Transposition ciphers » • One-time pads -
Modes of Operation for Compressed Sensing Based Encryption
Modes of Operation for Compressed Sensing based Encryption DISSERTATION zur Erlangung des Grades eines Doktors der Naturwissenschaften Dr. rer. nat. vorgelegt von Robin Fay, M. Sc. eingereicht bei der Naturwissenschaftlich-Technischen Fakultät der Universität Siegen Siegen 2017 1. Gutachter: Prof. Dr. rer. nat. Christoph Ruland 2. Gutachter: Prof. Dr.-Ing. Robert Fischer Tag der mündlichen Prüfung: 14.06.2017 To Verena ... s7+OZThMeDz6/wjq29ACJxERLMATbFdP2jZ7I6tpyLJDYa/yjCz6OYmBOK548fer 76 zoelzF8dNf /0k8H1KgTuMdPQg4ukQNmadG8vSnHGOVpXNEPWX7sBOTpn3CJzei d3hbFD/cOgYP4N5wFs8auDaUaycgRicPAWGowa18aYbTkbjNfswk4zPvRIF++EGH UbdBMdOWWQp4Gf44ZbMiMTlzzm6xLa5gRQ65eSUgnOoZLyt3qEY+DIZW5+N s B C A j GBttjsJtaS6XheB7mIOphMZUTj5lJM0CDMNVJiL39bq/TQLocvV/4inFUNhfa8ZM 7kazoz5tqjxCZocBi153PSsFae0BksynaA9ZIvPZM9N4++oAkBiFeZxRRdGLUQ6H e5A6HFyxsMELs8WN65SCDpQNd2FwdkzuiTZ4RkDCiJ1Dl9vXICuZVx05StDmYrgx S6mWzcg1aAsEm2k+Skhayux4a+qtl9sDJ5JcDLECo8acz+RL7/ ovnzuExZ3trm+O 6GN9c7mJBgCfEDkeror5Af4VHUtZbD4vALyqWCr42u4yxVjSj5fWIC9k4aJy6XzQ cRKGnsNrV0ZcGokFRO+IAcuWBIp4o3m3Amst8MyayKU+b94VgnrJAo02Fp0873wa hyJlqVF9fYyRX+couaIvi5dW/e15YX/xPd9hdTYd7S5mCmpoLo7cqYHCVuKWyOGw ZLu1ziPXKIYNEegeAP8iyeaJLnPInI1+z4447IsovnbgZxM3ktWO6k07IOH7zTy9 w+0UzbXdD/qdJI1rENyriAO986J4bUib+9sY/2/kLlL7nPy5Kxg3 Et0Fi3I9/+c/ IYOwNYaCotW+hPtHlw46dcDO1Jz0rMQMf1XCdn0kDQ61nHe5MGTz2uNtR3bty+7U CLgNPkv17hFPu/lX3YtlKvw04p6AZJTyktsSPjubqrE9PG00L5np1V3B/x+CCe2p niojR2m01TK17/oT1p0enFvDV8C351BRnjC86Z2OlbadnB9DnQSP3XH4JdQfbtN8 BXhOglfobjt5T9SHVZpBbzhDzeXAF1dmoZQ8JhdZ03EEDHjzYsXD1KUA6Xey03wU uwnrpTPzD99cdQM7vwCBdJnIPYaD2fT9NwAHICXdlp0pVy5NH20biAADH6GQr4Vc -
Automating the Development of Chosen Ciphertext Attacks
Automating the Development of Chosen Ciphertext Attacks Gabrielle Beck∗ Maximilian Zinkus∗ Matthew Green Johns Hopkins University Johns Hopkins University Johns Hopkins University [email protected] [email protected] [email protected] Abstract In this work we consider a specific class of vulner- ability: the continued use of unauthenticated symmet- In this work we investigate the problem of automating the ric encryption in many cryptographic systems. While development of adaptive chosen ciphertext attacks on sys- the research community has long noted the threat of tems that contain vulnerable format oracles. Unlike pre- adaptive-chosen ciphertext attacks on malleable en- vious attempts, which simply automate the execution of cryption schemes [17, 18, 56], these concerns gained known attacks, we consider a more challenging problem: practical salience with the discovery of padding ora- to programmatically derive a novel attack strategy, given cle attacks on a number of standard encryption pro- only a machine-readable description of the plaintext veri- tocols [6,7, 13, 22, 30, 40, 51, 52, 73]. Despite repeated fication function and the malleability characteristics of warnings to industry, variants of these attacks continue to the encryption scheme. We present a new set of algo- plague modern systems, including TLS 1.2’s CBC-mode rithms that use SAT and SMT solvers to reason deeply ciphersuite [5,7, 48] and hardware key management to- over the design of the system, producing an automated kens [10, 13]. A generalized variant, the format oracle attack strategy that can entirely decrypt protected mes- attack can be constructed when a decryption oracle leaks sages. -
Assignment 4 Task 1: Frequency Analysis (100 Points)
Assignment 4 Task 1: Frequency Analysis (100 points) The cryptanalyst can benefit from some inherent characteristics of the plaintext language to launch a statistical attack. For example, we know that the letter E is the most frequently used letter in English text. The cryptanalyst finds the mostly-used character in the ciphertext and assumes that the corresponding plaintext character is E. After finding a few pairs, the analyst can find the key and use it to decrypt the message. To prevent this type of attack, the cipher should hide the characteristics of the language. Table 1 contains frequency of characters in English. Table 1 Frequency of characters in English Cryptogram puzzles are solved for enjoyment and the method used against them is usually some form of frequency analysis. This is the act of using known statistical information and patterns about the plaintext to determine it. In cryptograms, each letter of the alphabet is encrypted to another letter. This table of letter-letter translations is what makes up the key. Because the letters are simply converted and nothing is scrambled, the cipher is left open to this sort of analysis; all we need is that ciphertext. If the attacker knows that the language used is English, for example, there are a great many patterns that can be searched for. Classic frequency analysis involves tallying up each letter in the collected ciphertext and comparing the percentages against the English language averages. If the letter "M" is most common then it is reasonable to guess that "E"-->"M" in the cipher because E is the most common letter in the English language. -
Chap 2. Basic Encryption and Decryption
Chap 2. Basic Encryption and Decryption H. Lee Kwang Department of Electrical Engineering & Computer Science, KAIST Objectives • Concepts of encryption • Cryptanalysis: how encryption systems are “broken” 2.1 Terminology and Background • Notations – S: sender – R: receiver – T: transmission medium – O: outsider, interceptor, intruder, attacker, or, adversary • S wants to send a message to R – S entrusts the message to T who will deliver it to R – Possible actions of O • block(interrupt), intercept, modify, fabricate • Chapter 1 2.1.1 Terminology • Encryption and Decryption – encryption: a process of encoding a message so that its meaning is not obvious – decryption: the reverse process • encode(encipher) vs. decode(decipher) – encoding: the process of translating entire words or phrases to other words or phrases – enciphering: translating letters or symbols individually – encryption: the group term that covers both encoding and enciphering 2.1.1 Terminology • Plaintext vs. Ciphertext – P(plaintext): the original form of a message – C(ciphertext): the encrypted form • Basic operations – plaintext to ciphertext: encryption: C = E(P) – ciphertext to plaintext: decryption: P = D(C) – requirement: P = D(E(P)) 2.1.1 Terminology • Encryption with key If the encryption algorithm should fall into the interceptor’s – encryption key: KE – decryption key: K hands, future messages can still D be kept secret because the – C = E(K , P) E interceptor will not know the – P = D(KD, E(KE, P)) key value • Keyless Cipher – a cipher that does not require the -
Shift Cipher Substitution Cipher Vigenère Cipher Hill Cipher
Lecture 2 Classical Cryptosystems Shift cipher Substitution cipher Vigenère cipher Hill cipher 1 Shift Cipher • A Substitution Cipher • The Key Space: – [0 … 25] • Encryption given a key K: – each letter in the plaintext P is replaced with the K’th letter following the corresponding number ( shift right ) • Decryption given K: – shift left • History: K = 3, Caesar’s cipher 2 Shift Cipher • Formally: • Let P=C= K=Z 26 For 0≤K≤25 ek(x) = x+K mod 26 and dk(y) = y-K mod 26 ʚͬ, ͭ ∈ ͔ͦͪ ʛ 3 Shift Cipher: An Example ABCDEFGHIJKLMNOPQRSTUVWXYZ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 • P = CRYPTOGRAPHYISFUN Note that punctuation is often • K = 11 eliminated • C = NCJAVZRCLASJTDQFY • C → 2; 2+11 mod 26 = 13 → N • R → 17; 17+11 mod 26 = 2 → C • … • N → 13; 13+11 mod 26 = 24 → Y 4 Shift Cipher: Cryptanalysis • Can an attacker find K? – YES: exhaustive search, key space is small (<= 26 possible keys). – Once K is found, very easy to decrypt Exercise 1: decrypt the following ciphertext hphtwwxppelextoytrse Exercise 2: decrypt the following ciphertext jbcrclqrwcrvnbjenbwrwn VERY useful MATLAB functions can be found here: http://www2.math.umd.edu/~lcw/MatlabCode/ 5 General Mono-alphabetical Substitution Cipher • The key space: all possible permutations of Σ = {A, B, C, …, Z} • Encryption, given a key (permutation) π: – each letter X in the plaintext P is replaced with π(X) • Decryption, given a key π: – each letter Y in the ciphertext C is replaced with π-1(Y) • Example ABCDEFGHIJKLMNOPQRSTUVWXYZ πBADCZHWYGOQXSVTRNMSKJI PEFU • BECAUSE AZDBJSZ 6 Strength of the General Substitution Cipher • Exhaustive search is now infeasible – key space size is 26! ≈ 4*10 26 • Dominates the art of secret writing throughout the first millennium A.D. -
Substitution Ciphers
Foundations of Computer Security Lecture 40: Substitution Ciphers Dr. Bill Young Department of Computer Sciences University of Texas at Austin Lecture 40: 1 Substitution Ciphers Substitution Ciphers A substitution cipher is one in which each symbol of the plaintext is exchanged for another symbol. If this is done uniformly this is called a monoalphabetic cipher or simple substitution cipher. If different substitutions are made depending on where in the plaintext the symbol occurs, this is called a polyalphabetic substitution. Lecture 40: 2 Substitution Ciphers Simple Substitution A simple substitution cipher is an injection (1-1 mapping) of the alphabet into itself or another alphabet. What is the key? A simple substitution is breakable; we could try all k! mappings from the plaintext to ciphertext alphabets. That’s usually not necessary. Redundancies in the plaintext (letter frequencies, digrams, etc.) are reflected in the ciphertext. Not all substitution ciphers are simple substitution ciphers. Lecture 40: 3 Substitution Ciphers Caesar Cipher The Caesar Cipher is a monoalphabetic cipher in which each letter is replaced in the encryption by another letter a fixed “distance” away in the alphabet. For example, A is replaced by C, B by D, ..., Y by A, Z by B, etc. What is the key? What is the size of the keyspace? Is the algorithm strong? Lecture 40: 4 Substitution Ciphers Vigen`ere Cipher The Vigen`ere Cipher is an example of a polyalphabetic cipher, sometimes called a running key cipher because the key is another text. Start with a key string: “monitors to go to the bathroom” and a plaintext to encrypt: “four score and seven years ago.” Align the two texts, possibly removing spaces: plaintext: fours corea ndsev enyea rsago key: monit orsto gotot hebat hroom ciphertext: rcizl qfkxo trlso lrzet yjoua Then use the letter pairs to look up an encryption in a table (called a Vigen`ere Tableau or tabula recta). -
Algorithms and Mechanisms Historical Ciphers
Algorithms and Mechanisms Cryptography is nothing more than a mathematical framework for discussing the implications of various paranoid delusions — Don Alvarez Historical Ciphers Non-standard hieroglyphics, 1900BC Atbash cipher (Old Testament, reversed Hebrew alphabet, 600BC) Caesar cipher: letter = letter + 3 ‘fish’ ‘ilvk’ rot13: Add 13/swap alphabet halves •Usenet convention used to hide possibly offensive jokes •Applying it twice restores the original text Substitution Ciphers Simple substitution cipher: a=p,b=m,c=f,... •Break via letter frequency analysis Polyalphabetic substitution cipher 1. a = p, b = m, c = f, ... 2. a = l, b = t, c = a, ... 3. a = f, b = x, c = p, ... •Break by decomposing into individual alphabets, then solve as simple substitution One-time Pad (1917) Message s e c r e t 18 5 3 17 5 19 OTP +15 8 1 12 19 5 7 13 4 3 24 24 g m d c x x OTP is unbreakable provided •Pad is never reused (VENONA) •Unpredictable random numbers are used (physical sources, e.g. radioactive decay) One-time Pad (ctd) Used by •Russian spies •The Washington-Moscow “hot line” •CIA covert operations Many snake oil algorithms claim unbreakability by claiming to be a OTP •Pseudo-OTPs give pseudo-security Cipher machines attempted to create approximations to OTPs, first mechanically, then electronically Cipher Machines (~1920) 1. Basic component = wired rotor •Simple substitution 2. Step the rotor after each letter •Polyalphabetic substitution, period = 26 Cipher Machines (ctd) 3. Chain multiple rotors Each rotor steps the next one when a full -
Cryptanalysis of the ``Kindle'' Cipher
Introduction PC1 Known-plaintext key-recovery Ciphertext only key-recovery Conclusion . Cryptanalysis of the “Kindle” Cipher Alex Biryukov, Gaëtan Leurent, Arnab Roy University of Luxembourg SAC 2012 A. Biryukov, G. Leurent, A. Roy (uni.lu) Cryptanalysis of the “Kindle” Cipher SAC 2012 1 / 22 Introduction PC1 Known-plaintext key-recovery Ciphertext only key-recovery Conclusion . Cryptography: theory and practice In theory In practice ▶ Random Oracle ▶ Algorithms ▶ ▶ Ideal Cipher AES ▶ SHA2 ▶ Perfect source of ▶ RSA randomness ▶ Modes of operation ▶ CBC ▶ OAEP ▶ ... ▶ . Random Number Generators ▶ Hardware RNG ▶ PRNG A. Biryukov, G. Leurent, A. Roy (uni.lu) Cryptanalysis of the “Kindle” Cipher SAC 2012 2 / 22 Introduction PC1 Known-plaintext key-recovery Ciphertext only key-recovery Conclusion . Cryptography in the real world Several examples of flaws in industrial cryptography: ▶ Bad random source ▶ SLL with 16bit entropy (Debian) ▶ ECDSA with fixed k (Sony) ▶ Bad key size ▶ RSA512 (TI) ▶ Export restrictions... ▶ Bad mode of operation ▶ CBCMAC with the RC4 streamcipher (Microsoft) ▶ TEA with DaviesMeyer (Microsoft) ▶ Bad (proprietary) algorithm ▶ A5/1 (GSM) ▶ CSS (DVD forum) ▶ Crypto1 (MIFARE/NXP) ▶ KeeLoq (Microchip) A. Biryukov, G. Leurent, A. Roy (uni.lu) Cryptanalysis of the “Kindle” Cipher SAC 2012 3 / 22 Introduction PC1 Known-plaintext key-recovery Ciphertext only key-recovery Conclusion . Amazon Kindle ▶ Ebook reader by Amazon ▶ Most popular ebook reader (≈ 50% share) ▶ 4 generations, 7 devices ▶ Software reader for 7 OS, plus cloud reader ▶ Several million devices sold ▶ Amazon sells more ebooks than paper books ▶ Uses crypto for DRM (Digital Rights Management) A. Biryukov, G. Leurent, A. Roy (uni.lu) Cryptanalysis of the “Kindle” Cipher SAC 2012 4 / 22 Introduction PC1 Known-plaintext key-recovery Ciphertext only key-recovery Conclusion .