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Chapter3

Chapter3. Public-Key Cryptography and Message Authentication. Cryptography Project. Find a partner to form a team Develop your own RSA method and distribute your public key Windows or Linux? You may also distribute your own RSA executable for decryption if you don’t trust your partner

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Chapter3

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  1. Chapter3 Public-Key Cryptography and MessageAuthentication

  2. Cryptography Project • Find a partner to form a team • Develop your own RSA method and distribute your public key • Windows or Linux? • You may also distribute your own RSA executable for decryption if you don’t trust your partner • Encryption • Encrypt a plaintext English paragraph (meaningful, at least 100 chars) using your own RSA program with your private key and send it as ciphertext 1 to your partner • Encrypt a plaintext English paragraph (meaningful, at least 100 chars) with your partner’s public key and send it as ciphertext 2 back to your partner • Decryption • Upon the receipt of ciphertext 1, use the sender’s public key to decrypt the message and give the sender a credit of 1 or 0 if you can or cannot read the produced plaintext • Upon the receipt of ciphertext 2, use your own private key to decrypt the message and give the sender a credit of 1 or 0 if you can or cannot read the produced plaintext • Score • The score of your project is the number of credits you receive from your partner • Send the TA the score of your partner • Submission deadline: the mid night before the last class

  3. OUTLINE • Math Foundation • Public-Key Cryptography Principles • Public-Key Cryptography Algorithms • Digital Signatures • Key Management • Approaches to Message Authentication • Secure Hash Functions and HMAC

  4. Introduction(Math Background) • Finite fields • Of increasing importance in cryptography • Public Key, AES, Elliptic Curve, IDEA • Concern operations on “numbers” • What constitutes a “number”? • The type of operations (+, -, x, /) variesconsiderably • We start with concepts of groups, rings, fields from abstract algebra

  5. Group • Group • a set of elements or “numbers” • obeys: • Closure: result ofaddition operation “+” is also in the set • associative law: (a+b)+c = a+(b+c) • has identity e: e+a = a+e = a • 0 is the identity element of addition • What is the identity element of multiplication? • has inverse a-1: a+a-1 = e • Addition: a-1 = -a • Abelian (commutative) group • if commutative:a+b = b+a

  6. Cyclic Group • Exponentiation • Repeated application ofoperator • example: a3 = a.a.a • Identity: • e=a0 • Cyclic group • every element is a power of some fixedelement • i.e.b =ak for some a and every b in group • a: a generator of the group

  7. Ring • Ring • Is an Abelian group • with both addition and multiplication operators • has closure • is associative • distributive over addition: a(b+c) = ab + ac • Commutative ring • Is a ring • multiplication is commutative • Integral domain • Is a commutative ring • multiplication has an identity • no zero divisors

  8. Field • Field • Is an integral domain • Allows for division • Has multiplicative inverse • Hierarchy

  9. Modular Arithmetic • modulo operator • “a mod n”: remainder when a is divided by n • congruence: a = b mod n • a & b have the same remainder when divided by n • eg. 100 = 34 mod 11 • residue of “a mod n” • b is the residue: a = qn + b • usually choose the smallest positive remainder as residue • ie. 0 <= b <= n-1 • modulo reduction • eg. -12 mod 7 = -5 mod 7 = 2 mod 7 = 9 mod 7

  10. Divisors • A non-zero number bdividesa if • for some m have a=mb (a,b,m all integers) • b divides into a with no remainder • denotedasb|a • b is a divisor of a • eg. all of 1,2,3,4,6,8,12,24 divide 24

  11. Modular Arithmetic Operations • A type of 'clock arithmetic' • uses a finite number of values, and loops back from either end • modular arithmetic • addition & multiplication • Apply modulo reduction at any point • a+b mod n = [a mod n + b mod n] mod n

  12. Modular Arithmetic • modular arithmetic • Applied to any group of integers • Zn = {0, 1, … , n-1} • form a commutative ring for addition • with a multiplicative identity • some properties • if (a+b)=(a+c) mod n then b=c mod n • but if (a.b)=(a.c) mod n then b=c mod n only if a is relatively prime to n

  13. Modulo 8 Addition Example

  14. Greatest Common Divisor (GCD) • GCD (a,b) of a and b • the largest number that divides evenly into both a and b • E.g. GCD(60,24) = 12 • relatively prime • no common factors (except 1) • Eg. GCD(8,15) = 1 • hence 8 & 15 are relatively prime ?

  15. Euclidean Algorithm • Euclidean Algorithm • an efficient way to find the GCD(a,b) • uses theorem: • GCD(a,b) = GCD(b, a mod b) • Euclidean Alg. to compute GCD(a,b): EUCLID(a,b) 1. A = a; B = b 2. if B = 0 return A = gcd(a, b) 3. R = A mod B 4. A = B 5. B = R 6. goto 2

  16. Example GCD(1970,1066) 1970 = 1 x 1066 + 904 gcd(1066, 904) 1066 = 1 x 904 + 162 gcd(904, 162) 904 = 5 x 162 + 94 gcd(162, 94) 162 = 1 x 94 + 68 gcd(94, 68) 94 = 1 x 68 + 26 gcd(68, 26) 68 = 2 x 26 + 16 gcd(26, 16) 26 = 1 x 16 + 10 gcd(16, 10) 16 = 1 x 10 + 6 gcd(10, 6) 10 = 1 x 6 + 4 gcd(6, 4) 6 = 1 x 4 + 2 gcd(4, 2) 4 = 2 x 2 + 0 gcd(2, 0)

  17. Galois Fields • finite fields play a key role in cryptography • Galois fields • The number of elements in a finite field must be a power of a prime: pn • denoted GF(pn) • in particular often use the fields: • GF(p) • GF(2n)

  18. Galois Fields GF(p) • GF(p) • the set of integers {0,1, … , p-1} • arithmetic operations modulo prime p • these form a finite field • since have multiplicative inverses • arithmetic is “well-behaved” • do addition, subtraction, multiplication, and division without leaving the field GF(p)

  19. GF(7) Multiplication Example

  20. Finding Inverses Find inverse of b in GF(m) (Used in RSA) EXTENDED EUCLID(m, b) 1. (A1, A2, A3)=(1, 0, m); (B1, B2, B3)=(0, 1, b) 2. if B3 = 0 return A3 = gcd(m, b); no inverse 3. if B3 = 1 return B3 = gcd(m, b); B2 = b–1 mod m 4. Q = A3 div B3 5. (T1, T2, T3)=(A1 – Q B1, A2 – Q B2, A3 – Q B3) 6. (A1, A2, A3)=(B1, B2, B3) 7. (B1, B2, B3)=(T1, T2, T3) 8. goto 2

  21. Inverse of 550 in GF(1759)

  22. Polynomial Arithmetic • Compute using polynomials f(x) = anxn + an-1xn-1 + … + a1x + a0 = ∑ aixi • x is known as the indeterminate • not interested in any specific value of x • several alternatives available • ordinary polynomial arithmetic • poly arithmetic with coeff mod p • polynomials mod division

  23. Ordinary Polynomial Arithmetic • add or subtract corresponding coefficients • multiply all terms by each other • eg let f(x) = x3 + x2 + 2 and g(x) = x2 – x + 1 f(x) + g(x) = x3 + 2x2 – x + 3 f(x) – g(x) = x3 + x + 1 f(x) x g(x) = x5 + 3x2 – 2x + 2

  24. Polynomial Arithmetic with Modulo Coefficients • computing value of each coefficient • do calculation modulo some value • forms a polynomial ring • could be modulo any prime • We are most interested in mod 2 • ie. all coefficients are 0 or 1 • eg. let f(x) = x3 + x2 and g(x) = x2 + x + 1 f(x) + g(x) = x3 + x + 1 f(x) x g(x) = x5 + x2

  25. Polynomial Division • Can write any polynomial in the form: • f(x) = q(x) g(x) + r(x) • r(x): a remainder • r(x) = f(x) mod g(x) • g(x) divides f(x) evenly • if have no remainder • A polynomialis irreducible (or prime) • if f(x) has no divisors other than itself & 1

  26. Polynomial GCD • Greatest common divisor for polys • c(x) = GCD(a(x), b(x)) • if c(x) is the poly of greatest degree which divides both a(x), b(x) • adapt Euclid’s Algorithm to find it: EUCLID[a(x), b(x)] 1. A(x) = a(x); B(x) = b(x) 2. if B(x) = 0 return A(x) = gcd[a(x), b(x)] 3. R(x) = A(x) mod B(x) 4. A(x) ¨ B(x) 5. B(x) ¨ R(x) 6. goto 2

  27. Modular Polynomial Arithmetic • Field GF(2n) • polynomials with coefficients modulo 2 • whose degree is less than n • hence must reduce modulo an irreducible poly of degree n (for multiplication only) • form a finite field • can always find an inverse • extend Euclid’s Inverse algorithm to find

  28. Example GF(23)

  29. Computational Considerations • coefficients are 0 or 1 • represent any such polynomial as a bit string • Addition • becomes XOR of these bit strings • Multiplication • shift & XOR • Modulo reduction • repeatedly substituting highest power with remainder of irreducible poly (also shift & XOR)

  30. Computational Example • GF(23) • (x2+1): 1012 • (x2+x+1): 1112 • Addition: • (x2+1) + (x2+x+1) = x • 101 XOR 111 = 0102 • Multiplication: • (x+1).(x2+1) = x.(x2+1) + 1.(x2+1) = x3+x+x2+1 = x3+x2+x+1 • 011.101 = (101)<<1 XOR (101)<<0 = 1010 XOR 101 = 11112 • Polynomial modulo reduction (get q(x) & r(x)) • (x3+x2+x+1 ) mod (x3+x+1) = 1.(x3+x+1) + (x2) = x2 • 1111 mod 1011 = 1111 XOR 1011 = 01002

  31. Prime Numbers • prime numbers only have divisors of 1 and self • they cannot be written as a product of other numbers • note: 1 is prime, but is generally not of interest • eg. 2,3,5,7 are prime, 4,6,8,9,10 are not • prime numbers are central to number theory • list of prime number less than 200 is: 2 3 5 7 11 13 17 19 23 29 31 37 41 43 47 53 59 61 67 71 73 79 83 89 97 101 103 107 109 113 127 131 137 139 149 151 157 163 167 173 179 181 191 193 197 199

  32. Prime Factorization • factor a number n • a product of other numbers: n=a x b x c • factoring a number is relatively hard compared to multiplying the factors together to generate the number • prime factorization of a number n • a product of primes • eg. 91=7x13 ; 3600=24x32x52

  33. Relatively Prime Numbers & GCD • relatively prime • two numbers a, b have no common divisors apart from 1 • eg. 8 & 15 are relatively prime since factors of 8 are 1,2,4,8 and of 15 are 1,3,5,15 and 1 is the only common factor • A new approach to determine GCD • comparing their prime factorizations and using least powers • eg. 300=21x31x52 18=21x32 • hence GCD(18,300)=21x31x50=6

  34. Fermat's Theorem • ap-1 = 1 (mod p) • where p is prime and gcd(a,p)=1 • also known as Fermat’s Little Theorem • For primality test

  35. Euler Totient Function ø(n) • arithmetic modulo n • complete set of residues • 0..n-1 • reduced set of residues • those numbers (residues) which are relatively prime to n • eg for n=10, • complete set of residues is {0,1,2,3,4,5,6,7,8,9} • reduced set of residues is {1,3,7,9} • Euler Totient Function ø(n) • number of elements in reduced set of residues

  36. Euler Totient Function ø(n) • compute ø(n) • need to count number of residues to be excluded • eg. ø(37) = 36 ø(21) = (3–1)x(7–1) = 2x6 = 12 • in general need prime factorization, but • for p (p prime) ø(p) = p-1 • for p.q (p,q prime) ø(pq) =(p-1)x(q-1)

  37. Euler's Theorem • a generalization of Fermat's Theorem • aø(n) = 1 (mod n) • for any a,n where gcd(a,n)=1 • eg. a=3;n=10; ø(10)=4; hence 34 = 81 = 1 mod 10 a=2;n=11; ø(11)=10; hence 210 = 1024 = 1 mod 11 • Key to understand RSA method!

  38. Miller Rabin Algorithm • Primality test based on Fermat’s Theorem • algorithm: TEST (n): 1. Find integers k, q, (k > 0, q odd), so that (n–1)=2kq 2. Select a random integer a, 1<a<n–1 3. if aqmod n = 1then return (“maybe prime"); 4. for j = 0 to k – 1 do 5. if (a2jqmod n = n-1) then return(" maybe prime ") 6. return ("composite") //definitely not prime

  39. Chinese Remainder Theorem • Chinese Remainder theorem • used to speed up modulo computations • divide modulo into a product of numbers • eg. mod M = m1m2..mk • work on each moduli mi separately • faster than working in the full modulus M • computational cost is proportional to size

  40. Chinese Remainder Theorem • can implement CRT in several ways • compute A(mod M) • first compute all ai = A mod mi separately • determine constants ci below, where Mi = M/mi • then combine results to get answer using:

  41. Primitive Roots • from Euler’s theorem: aø(n)mod n=1 • consider am=1 (mod n), GCD(a,n)=1 • must exist for m = ø(n) but may be smaller • once powers reach m, cycle will repeat • a is called a primitive root • if the smallest is m = ø(n) • a is a primitive root of prime p • if a mod p, a^2 mod p, …, a^(p-1)mod p are distinct and consist of 1, 2,…, (p-1) in some permutation • Or, the powers ofa "generate" the group mod p • useful but relatively hard to find

  42. Discrete Logarithms • inverse problem to exponentiation • find the discrete logarithm of a number modulo p • find i such that b = ai (mod p), 0 <= i <= p-1 • i = logab (mod p) = dloga,p(b) • Here, “i” is also called index • if a is a primitive root then index always exists, otherwise it may not, eg. i = log3 4 mod 13 has no answer i = log2 3 mod 13 = 4 by trying successive powers • whilst exponentiation is relatively easy, finding discrete logarithms is generally a hard problem

  43. Public-Key Cryptography Principles • The use of two keys has consequences • key distribution, confidentiality and authentication. • The scheme has six ingredients • Plaintext • Encryption algorithm • Public key • private key • Ciphertext • Decryption algorithm

  44. Encryption using Public-Key system

  45. Authentication usingPublic-Key System

  46. Public-Key Cryptosystems

  47. Applications for Public-Key Cryptosystems • Three categories: • Encryption/decryption • The sender encrypts a message with the recipient’s public key. • Digital signature • The sender ”signs” a message with its private key. • Key exchange • Two sides cooperate to exhange a session key.

  48. Requirements for Public-Key Cryptography • Computationally easy for a party B to generate a pair (public key KUb, private key KRb) • Easy for sender to generate ciphertext: • Easy for the receiver to decrypt ciphertect using private key:

  49. Requirements for Public-Key Cryptography • Computationally infeasible to determineprivate key (KRb) knowing public key (KUb) • Computationally infeasible to recover message M, knowing KUb and ciphertext C • Either of the two keys can be used for encryption, with the other used for decryption:

  50. Security of Public Key Schemes • brute force exhaustive search attack • theoretically possible • similar to secret key schemes • keys used are very large (>512bits) • Slower compared to secret key schemes • security relies on • a large enough difference in difficulty between • easy (en/decrypt) and • hard (cryptanalyse) problems • the hard problem is known, but is made hard enough to be impractical to break

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