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Cryptology The study of secret messages Caesar cipher f (p) = (p + 3) mod 26 “MEET YOU IN THE PARK” becomes “PHHW BRX LQ WKH SDUN”

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Cryptology. The study of secret messages Caesar cipher f (p) = (p + 3) mod 26 “MEET YOU IN THE PARK” becomes “PHHW BRX LQ WKH SDUN”. Security Now Podcast. Leo LaPorte, twit.tv, leoville.com. Steve Gibson, grc.com. Decoder Ring (SN-31). Basic Terminology. - PowerPoint PPT Presentation

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Page 1: Cryptology

Cryptology

The study of secret messages

Caesar cipher f (p) = (p + 3) mod 26

“MEET YOU IN THE PARK” becomes“PHHW BRX LQ WKH SDUN”

Page 2: Cryptology

Security Now Podcast

Leo LaPorte, twit.tv, leoville.com

Steve Gibson, grc.com

Page 3: Cryptology

Decoder Ring (SN-31)

Page 4: Cryptology

Basic Terminology• plaintext - the original message

• ciphertext - the coded message

• cipher - algorithm for transforming plaintext to ciphertext

• key - info used in cipher known only to sender/receiver

• encipher (encrypt) - converting plaintext to ciphertext

• decipher (decrypt) - recovering ciphertext from plaintext

• cryptography - study of encryption principles/methods

• cryptanalysis (codebreaking) - the study of principles/ methods of deciphering ciphertext without knowing key

• cryptology - the field of both cryptography and cryptanalysis

Page 5: Cryptology

Cryptology

The study of secret messages

Caesar cipher f (p) = (p + 3) mod 26

“MEET YOU IN THE PARK” becomes“PHHW BRX LQ WKH SDUN”

Page 6: Cryptology

English Letter Frequencies

Page 7: Cryptology

Letter Pair Frequencies

For instance, given a section of English language, E tends to be very common, while X is very rare. Likewise, ST, NG, TH, and QU are common pairs of letters (termed bigrams or digraphs), while NZ and QJ are rare. The mnemonics phrase "ETAOIN SHRDLU" encodes the 12 most frequent letters in typical English language text.

Page 8: Cryptology

EXCLUSIVE OR

The EXCLUSIVE OR is true when

exactly one of its operands is true.

p q p q

____________________

F F F

F T T

T F T

T T F

Page 9: Cryptology

Reversible XOR

1100 plaintext

1010 encrypt

-----

0110 ciphertext

1010 decrypt

-----

1100 plaintext

Page 10: Cryptology

Ch 7 / Foil 10

Random Numbers

Generating a sequence of random numbers is often useful In a game, it ensures that a player does not see

the same behavior each time In a simulation of a complex system,

random numbers can be used tohelp generate random events

– Car crash in a simulationof a highway system

– Likelihood of a gene in cell mutation– Weather simulation

Page 11: Cryptology

Ch 7 / Foil 11

Uniform Random Numbers

Uniform random number sequence A sequence of random numbers where

– Each value in the sequence is drawn from the same range of numbers

– In each position of the sequence, any value in the number range is equally likely to occur

Page 12: Cryptology

Ch 7 / Foil 12

Random Numbers

Examples Generate a uniform random

number sequence in the range1 to 6

– Use a fair six-sided dice– Each roll represents a new random number

Do two die produce uniform random numbers in the range 1 ... 12?

Generate a uniform random numbersequence in the range 1 to 2

– Use a fair coin Heads: 1, Tails: 2

Page 13: Cryptology

Ch 7 / Foil 13

Random Numbers

We can write an algorithmfor generating what lookslike random numbers

Because it’s an algorithm,we know the rules for generating the next number The generated numbers are not really random

– They are properly called pseudorandom numbers

30 21 9 28 29 ...

Page 14: Cryptology

Ch 7 / Foil 14

Stdlib Library

Provides in part an interface to functions that generate pseudorandom numbers rand() -- returns a uniform pseudorandom number (unsigned int)

from the inclusive interval 0 to RAND_MAX Consider rand.cpp

#include <iostream>#include <string>using namespace std;#include <stdlib.h>int main() { for (int i = 1; i <= 5; ++i)

cout << rand() << endl; return 0;

}

Page 15: Cryptology

Ch 7 / Foil 15

Different Sequences

To produce a different sequence, invoke

void srand(unsigned int); Consider seed.cpp

int main() { cout << "Enter a seed: "; unsigned int Seed; cin >> Seed; srand(Seed); for (int i = 1; i <= 5; ++i) cout << rand() << endl; return 0;

}

Page 16: Cryptology

Ch 7 / Foil 16

Different Sequences

To get a different sequence each time Need a method of setting the seed to a random value

– The standard method is to use the computer's clock as the value of the seed

– The function invocation time() can be used Returns an integral value of type time_t Invocation time(0) returns a suitable value for

generating a random sequence

Page 17: Cryptology

Ch 7 / Foil 17

Randseed.cpp

#include <iostream>#include <string>using namespace std;#include <stdlib.h>#include <time.h>

int main() { srand((unsigned int) time(0)); for (int i = 1; i <= 5; ++i)

cout << rand() << endl; return 0;

}

Page 18: Cryptology

Symmetric Key

Symmetric-key algorithms are a class of algorithms for cryptography that use trivially related, often identical, cryptographic keys for both decryption and encryption.

Page 19: Cryptology

Diffie-Hellman Key Exchange

We both agree on a public key a I raise ab for some large integer b You raise ac for integer c We exchange values You raise ab to the c power I raise ac to the b power We both have abc for our session key (RNG seed)

No one eavesdropping can perform log ab or log ac for large values of a, b, c

Security Now 34, 7:30mins-11:30

Page 20: Cryptology

RSA Encryption C = Me mod n

C = encrypted message M = plaintext message (converted to #s via ASCII) n is product of two primes pq e is exponent relatively prime to (p-1)(q-1) (public key)

The formula is invertible if p, q are known So, huge prime values are chosen for p,q (200 digits) n cannot be factored in a reasonable amount of time (2 billion years of computer time) Receiver of message is given decryption key: p & q

RSA Demo

Page 21: Cryptology

RSA Encryption The RSA algorithm, invented in 1977 by Ron Rivest, Adi Shamir, and Leonard

Adleman, is used frequently for public-key encryption and decryption. It works as follows: Take two large prime numbers, p and q, and find their

product n = pq; n is called the modulus. Choose a number, e, less than n and relatively prime to (p1)(q1), and find d, an inverse of e modulo (p1)(q1), which means that ed 1 mod (p1)(q1);

e and d are called the public and private exponents, respectively. The public key is the pair (n,e); the private key is d. The factors p and q must be kept secret, or destroyed. It is difficult (presumably) to obtain the private key d from the public key (n,e). If one could factor n into p and q (which can be difficult for large values of p and q) however, then one could obtain the private key d.

  RSA Demo

Page 22: Cryptology

Outline

• Overview of Cryptography

• Classical Symmetric Cipher

• Modern Symmetric Ciphers (DES)

Page 23: Cryptology

Basic Terminology• plaintext - the original message

• ciphertext - the coded message

• cipher - algorithm for transforming plaintext to ciphertext

• key - info used in cipher known only to sender/receiver

• encipher (encrypt) - converting plaintext to ciphertext

• decipher (decrypt) - recovering ciphertext from plaintext

• cryptography - study of encryption principles/methods

• cryptanalysis (codebreaking) - the study of principles/ methods of deciphering ciphertext without knowing key

• cryptology - the field of both cryptography and cryptanalysis

Page 24: Cryptology

Classification of Cryptography• Number of keys used

– Hash functions: no key

– Secret key cryptography: one key

– Public key cryptography: two keys - public, private

• Type of encryption operations used

– substitution / transposition / product

• Way in which plaintext is processed

– block / stream

Page 25: Cryptology

Secret Key vs. Secret Algorithm

• Secret algorithm: additional hurdle

• Hard to keep secret if used widely:

– Reverse engineering, social engineering

• Commercial: published

– Wide review, trust

• Military: avoid giving enemy good ideas

Page 26: Cryptology

Cryptanalysis Scheme• Ciphertext only:

– Exhaustive search until “recognizable plaintext”

– Need enough ciphertext

• Known plaintext:

– Secret may be revealed (by spy, time), thus <ciphertext, plaintext> pair is obtained

– Great for monoalphabetic ciphers

• Chosen plaintext:

– Choose text, get encrypted

– Useful if limited set of messages

Page 27: Cryptology

Unconditional vs. Computational Security

• Unconditional security

– No matter how much computer power is available, the cipher cannot be broken

– The ciphertext provides insufficient information to uniquely determine the corresponding plaintext

– Only one-time pad scheme qualifies

• Computational security

– The cost of breaking the cipher exceeds the value of the encrypted info

– The time required to break the cipher exceeds the useful lifetime of the info

Page 28: Cryptology

Brute Force Search• Always possible to simply try every key

• Most basic attack, proportional to key size

• Assume either know / recognise plaintext

Page 29: Cryptology

Outline

• Overview of Cryptography

• Classical Symmetric Cipher

– Substitution Cipher

– Transposition Cipher

• Modern Symmetric Ciphers (DES)

Page 30: Cryptology

Symmetric Cipher Model

Page 31: Cryptology

Requirements• Two requirements for secure use of

symmetric encryption:

– a strong encryption algorithm

– a secret key known only to sender / receiver

Y = EK(X)

X = DK(Y)

• Assume encryption algorithm is known

• Implies a secure channel to distribute key

Page 32: Cryptology

Classical Substitution Ciphers

• Letters of plaintext are replaced by other letters or by numbers or symbols

• Plaintext is viewed as a sequence of bits, then substitution replaces plaintext bit patterns with ciphertext bit patterns

Page 33: Cryptology

Caesar Cipher

• Earliest known substitution cipher

• Replaces each letter by 3rd letter on

• Example:

meet me after the toga party

PHHW PH DIWHU WKH WRJD SDUWB

Page 34: Cryptology

Caesar Cipher• Define transformation as:

a b c d e f g h i j k l m n o p q r s t u v w x y z

D E F G H I J K L M N O P Q R S T U V W X Y Z A B C

• Mathematically give each letter a numbera b c d e f g h i j k l m

0 1 2 3 4 5 6 7 8 9 10 11 12

n o p q r s t u v w x y Z

13 14 15 16 17 18 19 20 21 22 23 24 25

• Then have Caesar cipher as:

C = E(p) = (p + k) mod (26)

p = D(C) = (C – k) mod (26)

Page 35: Cryptology

Cryptanalysis of Caesar Cipher

• Only have 25 possible ciphers

– A maps to B,..Z

• Given ciphertext, just try all shifts of letters

• Do need to recognize when have plaintext

• E.g., break ciphertext "GCUA VQ DTGCM"

Page 36: Cryptology

Monoalphabetic Cipher• Rather than just shifting the alphabet

• Could shuffle (jumble) the letters arbitrarily

• Each plaintext letter maps to a different random ciphertext letter

• Key is 26 letters long

Plain: abcdefghijklmnopqrstuvwxyz

Cipher: DKVQFIBJWPESCXHTMYAUOLRGZN

Plaintext: ifwewishtoreplaceletters

Ciphertext: WIRFRWAJUHYFTSDVFSFUUFYA

Page 37: Cryptology

Monoalphabetic Cipher Security

• Now have a total of 26! = 4 x 1026 keys

• Is that secure?

• Problem is language characteristics

– Human languages are redundant

– Letters are not equally commonly used

Page 38: Cryptology

English Letter Frequencies

Page 39: Cryptology

Example Cryptanalysis• Given ciphertext:

UZQSOVUOHXMOPVGPOZPEVSGZWSZOPFPESXUDBMETSXAIZ

VUEPHZHMDZSHZOWSFPAPPDTSVPQUZWYMXUZUHSX

EPYEPOPDZSZUFPOMBZWPFUPZHMDJUDTMOHMQ

• Count relative letter frequencies (see text)

• Guess P & Z are e and t

• Guess ZW is th and hence ZWP is the

• Proceeding with trial and error finally get:it was disclosed yesterday that several informal but

direct contacts have been made with political

representatives of the viet cong in moscow

Page 40: Cryptology

One-Time Pad• If a truly random key as long as the message

is used, the cipher will be secure - One-Time pad

• E.g., a random sequence of 0’s and 1’s XORed to plaintext, no repetition of keys

• Unbreakable since ciphertext bears no statistical relationship to the plaintext

• For any plaintext, it needs a random key of the same length

– Hard to generate large amount of keys

• Have problem of safe distribution of key

Page 41: Cryptology

Transposition Ciphers

• Now consider classical transposition or permutation ciphers

• These hide the message by rearranging the letter order, without altering the actual letters used

• Can recognise these since have the same frequency distribution as the original text

Page 42: Cryptology

Rail Fence cipher

• Write message letters out diagonally over a number of rows

• Then read off cipher row by row

• E.g., write message out as:m e m a t r h t g p r y

e t e f e t e o a a t

• Giving ciphertextMEMATRHTGPRYETEFETEOAAT

Page 43: Cryptology

Product Ciphers• Ciphers using substitutions or transpositions are

not secure because of language characteristics

• Hence consider using several ciphers in succession to make harder, but:

– Two substitutions make a more complex substitution

– Two transpositions make more complex transposition

– But a substitution followed by a transposition makes a new much harder cipher

• This is bridge from classical to modern ciphers

Page 44: Cryptology

Outline

• Overview of Cryptography

• Classical Symmetric Cipher

• Modern Symmetric Ciphers (DES)

Page 45: Cryptology

Block vs Stream Ciphers

• Block ciphers process messages in into blocks, each of which is then en/decrypted

• Like a substitution on very big characters

– 64-bits or more

• Stream ciphers process messages a bit or byte at a time when en/decrypting

• Many current ciphers are block ciphers, one of the most widely used types of cryptographic algorithms

Page 46: Cryptology

Block Cipher Principles• Most symmetric block ciphers are based on a

Feistel Cipher Structure

• Block ciphers look like an extremely large substitution

• Would need table of 264 entries for a 64-bit block

• Instead create from smaller building blocks

• Using idea of a product cipher

Page 47: Cryptology

Substitution-Permutation Ciphers

• Substitution-permutation (S-P) networks [Shannon, 1949]

– modern substitution-transposition product cipher

• These form the basis of modern block ciphers

• S-P networks are based on the two primitive cryptographic operations

– substitution (S-box)

– permutation (P-box)

• provide confusion and diffusion of message

Page 48: Cryptology

Confusion and Diffusion• Cipher needs to completely obscure statistical

properties of original message

• A one-time pad does this

• More practically Shannon suggested S-P networks to obtain:

• Diffusion – dissipates statistical structure of plaintext over bulk of ciphertext

• Confusion – makes relationship between ciphertext and key as complex as possible

Page 49: Cryptology

Feistel Cipher Structure

• Feistel cipher implements Shannon’s S-P network concept

– based on invertible product cipher

• Process through multiple rounds which

– partitions input block into two halves

– perform a substitution on left data half

– based on round function of right half & subkey

– then have permutation swapping halves

Page 50: Cryptology

Feistel Cipher

Structure

Page 51: Cryptology

DES (Data Encryption Standard)

• Published in 1977, standardized in 1979.

• Key: 64 bit quantity=8-bit parity+56-bit key

– Every 8th bit is a parity bit.

• 64 bit input, 64 bit output.

DESEncryption

64 bit M 64 bit C

56 bits

Page 52: Cryptology

DES Top View

Permutation

Permutation

Swap

Round 1

Round 2

Round 16

Generate keysInitial Permutation

48-bit K1

48-bit K2

48-bit K16

Swap 32-bit halves

Final Permutation

64-bit Output

48-bit K164-bit Input56-bit Key

…...

Page 53: Cryptology

Bit Permutation (1-to-1)

…….

……..

1 2 3 4 32

22 6 13 32 3

Input:

Output

0 0 1 0 1

1 0 1 1 1

1 bit

Page 54: Cryptology

Per-Round Key Generation

28 bits 28 bits

48 bitsKi

Oneround

Circular Left Shift Circular Left Shift

28 bits 28 bits

Permutationwith Discard

Initial Permutation of DES key

C i-1 D i-1

C i D i

Round 1,2,9,16: single shiftOthers: two bits

Page 55: Cryptology

A DES Round

48 bits

32 bits

32 bits Ln 32 bits Rn

32 bits Ln+1 32 bits Rn+1

E

S-Boxes

P

48 bitsKi

One RoundEncryption

ManglerFunction

Page 56: Cryptology

Mangler Function

4444444 4

6666666 6

+ + +++ ++ +

6666666 6

S8S1 S2 S7S3 S4 S5 S6

4444444 4

Permutation

The permutation produces “spread” among the chunks/S-boxes!

Page 57: Cryptology

Bits Expansion (1-to-m)

…….

……..

1 2 3 4 5 32Input:

Output

0 0 1 0 1 1

1 2 3 4 5 6 7 8 48

1 0 0 1 0 1 0 1 1 0

Page 58: Cryptology

S-Box (Substitute and Shrink)• 48 bits ==> 32 bits. (8*6 ==> 8*4)

• 2 bits used to select amongst 4 substitutions for the rest of the 4-bit quantity

2 bitsrow

S i

i = 1,…8.

I1I2I3I4I5I6

O1O2O3O4

4 bitscolumn

Page 59: Cryptology

S-Box Examples

0 1 2 3 4 5 6 7 8 9…. 15

0 14 4 13 1 2 15 11 8 3

1 0 15 7 4 14 2 13 1 10

2 4 1 14 8 13 6 2 11 15

3 15 12 8 2 4 9 1 7 5

Each row and column contain different numbers.

Example: input: 100110 output: ???

Page 60: Cryptology

DES Standard

• Cipher Iterative Action :

– Input: 64 bits

– Key: 48 bits

– Output: 64 bits

• Key Generation Box :

– Input: 56 bits

– Output: 48 bits

One round (Total 16 rounds)

Page 61: Cryptology

DES Box Summary

• Simple, easy to implement:

– Hardware/gigabits/second, software/megabits/second

• 56-bit key DES may be acceptable for non-critical applications but triple DES (DES3) should be secure for most applications today

• Supports several operation modes (ECB CBC, OFB, CFB) for different applications