CSCE 715: Network Systems Security

1. CSCE 715:Network Systems Security Chin-Tser Huang huangct@cse.sc.edu University of South Carolina

2. After DES… • More symmetric encryption algorithms • Triple-DES • Advanced Encryption Standards

3. Triple DES • Clearly a replacement for DES was needed • theoretical attacks that can break it • demonstrated exhaustive key search attacks • Use multiple encryptions with DES implementations • Triple-DES is the chosen form

4. Why Triple-DES? • Double-DES may suffer from meet-in-the-middle attack • works whenever use a cipher twice • assume C = EK2[EK1[P]], so X = EK1[P] = DK2[C] • attack by encrypting P with all keys and store • then decrypt C with keys and match X value • can show attack takes O(256) steps

5. Triple-DES with Two Keys • Must use 3 encryptions • would seem to need 3 distinct keys • But can use 2 keys with E-D-E sequence • encrypt & decrypt equivalent in security • C = EK1[DK2[EK1[P]]] • if K1=K2 then can work with single DES • Standardized in ANSI X9.17 & ISO8732 • No current known practical attacks

6. Triple-DES with Three Keys • Some proposed attacks on two-key Triple-DES, although none of them practical • Can use Triple-DES with Three-Keys to avoid even these • C = EK3[DK2[EK1[P]]] • Has been adopted by some Internet applications, e.g. PGP, S/MIME

7. Origins ofAdvanced Encryption Standard • Triple-DES is slow with small blocks • US NIST issued call for ciphers in 1997 • 15 candidates accepted in Jun 1998 • 5 were shortlisted in Aug 1999 • Rijndael was selected as the AES in Oct 2000 • Issued as FIPS PUB 197 standard in Nov 2001

8. AES Requirements • Private key symmetric block cipher • 128-bit data, 128/192/256-bit keys • Stronger and faster than Triple-DES • Active life of 20-30 years (+ archival use) • Provide full specification and design details • Both C and Java implementations • NIST has released all submissions and unclassified analyses

9. AES Evaluation Criteria • Initial criteria • security – effort to practically cryptanalyze • cost – computational • algorithm & implementation characteristics • Final criteria • general security • software & hardware implementation ease • implementation attacks • flexibility (in en/decrypt, keying, other factors)

10. AES Shortlist • Shortlist in Aug 99 after testing and evaluation • MARS (IBM) - complex, fast, high security margin • RC6 (USA) - very simple, very fast, low security margin • Rijndael (Belgium) - clean, fast, good security margin • Serpent (Euro) - slow, clean, very high security margin • Twofish (USA) - complex, very fast, high security margin • Subject to further analysis and comment • Contrast between algorithms with • few complex rounds verses many simple rounds • refined existing ciphers verses new proposals

11. The Winner - Rijndael • Designed by Rijmen-Daemen in Belgium • Has 128/192/256 bit keys, 128 bit data • An iterative rather than feistel cipher • treats data in 4 groups of 4 bytes • operates an entire block in every round • Designed to be • resistant against known attacks • speed and code compactness on many CPUs • design simplicity • Use finite field

12. Abstract Algebra Background • Group • Ring • Field

13. Group • A set of elements or “numbers” • With a binary operation whose result is also in the set (closure) • Obey following axioms • associative law: (a.b).c = a.(b.c) • has identity e: e.a = a.e = a • has inverses a-1: a.a-1 = e • Abelian group if commutative a.b = b.a

14. Ring • A set of elements with two operations (addition and multiplication) which are: • an abelian group with addition operation • multiplication • has closure • is associative • distributive over addition: a(b+c) = ab + ac • Commutative ring if multiplication operation is commutative • Integral domain if multiplication operation has identity and no zero divisors

15. Field • A set of numbers with two operations • abelian group for addition • abelian group for multiplication (ignoring 0) • integral domain • multiplicative inverse: aa-1 = a-1a= 1 • Infinite field if infinite number of elements • Finite field if finite number of elements

16. Modular Arithmetic • Define modulo operatora mod n to be remainder when a is divided by n • Use the term congruence for: a ≡ b mod n • when divided by n, a and b have same remainder • e.g. 100  34 mod 11 • b is called the residue of a mod n if 0  b  n-1 • with integers can write a = qn + b

17. Divisor • A non-zero number b is a divisor of a if for some m have a=mb (a,b,m all integers) • That is, b divides a with no remainder • Denote as b|a • E.g. all of 1,2,3,4,6,8,12,24 divide 24

18. Modular Arithmetic • Can do modular arithmetic with any group of integers Zn = {0, 1, … , n-1} • Form a commutative ring for addition • With a multiplicative identity • Some peculiarities • if (a+b)≡(a+c) mod n then b≡c mod n • but (ab)≡(ac) mod n then b≡c mod n only if a is relatively prime to n

19. Modulo 8 Example

20. Greatest Common Divisor (GCD) • GCD (a,b) of a and b is the largest number that divides evenly into both a and b • e.g. GCD(60,24) = 12 • It is often desirable to find numbers that are relatively prime, namely they have no common factors (except 1) • e.g. 8 and 15 relatively prime as GCD(8,15) = 1

21. Euclid's GCD Algorithm • Use following theorem • GCD(a,b) = GCD(b, a mod b) • Euclid's Algorithm to compute GCD(a,b) • A=a, B=b • while B>0 • R = A mod B • A = B, B = R • return A

22. Galois Fields • Finite fields play a key role in cryptography • Number of elements in a finite field must be a power of a prime pn • Known as Galois fields • Denoted GF(pn) • In particular often use the following forms • GF(p) • GF(2n)

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

24. Arithmetic in GF(7)

25. Finding Multiplicative Inverses • By extending Euclid’s algorithm 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

26. Polynomial Arithmetic • Can compute using polynomials • Several alternatives available • ordinary polynomial arithmetic • poly arithmetic with coords mod p • poly arithmetic with coords mod p and polynomials mod M(x)

27. Ordinary Polynomial Arithmetic • Add or subtract corresponding coefficients • Multiply all terms by each other • E.g. 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

28. Polynomial Arithmetic with Modulo Coefficients • Compute value of each coefficient as modulo some value • Could be modulo any prime • But we are most interested in mod 2 • i.e. all coefficients are 0 or 1 • e.g. let f(x) = x3 + x2,g(x) = x2 + x + 1 f(x) + g(x) = x3 + x + 1 f(x) x g(x) = x5 + x2

29. Modular Polynomial Arithmetic • Can write any polynomial in the form • f(x) = q(x) g(x) + r(x) • can interpret r(x) as being a remainder • r(x) = f(x) mod g(x) • If no remainder say g(x) divides f(x) • If g(x) has no divisors other than itself and 1 say it is irreducible (or prime) polynomial • Arithmetic modulo an irreducible polynomial forms a field

30. Polynomial GCD • Can find 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) • can 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

31. Modular Polynomial Arithmetic • Can compute in 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 • can extend Euclid’s Inverse algorithm to find

32. Arithmetic in GF(23)

33. Rijndael • Process data as 4 groups of 4 bytes (State) • Has 9/11/13 rounds in which state undergoes: • byte substitution (1 S-box used on every byte) • shift rows (permute bytes between groups/columns) • mix columns (subs using matrix multiply of groups) • add round key (XOR state with key material) • Initial XOR key material & incomplete last round • All operations can be combined into XOR and table lookups, hence very fast and efficient

34. Rijndael

35. AES Round

36. Byte Substitution • A simple substitution of each byte • Uses one table of 16x16 bytes containing a permutation of all 256 8-bit values • Each byte of state is replaced by byte in corresponding row (left 4 bits) and column (right 4 bits) • eg. byte {95} is replaced by row 9 col 5 byte, which is {2A} • S-box is constructed using a defined transformation of the values in GF(28)

37. Shift Rows • Circular byte shift in each row • 1st row is unchanged • 2nd row does 1 byte circular shift to left • 3rd row does 2 byte circular shift to left • 4th row does 3 byte circular shift to left • Decryption does shifts to right • Since state is processed by columns, this step permutes bytes between the columns

38. Mix Columns • Each column is processed separately • Each byte is replaced by a value dependent on all 4 bytes in the column • Effectively a matrix multiplication in GF(28) using prime poly m(x) =x8+x4+x3+x+1

39. Add Round Key • XOR state with 128 bits of the round key • Again processed by column (though effectively a series of byte operations) • Inverse for decryption is identical since XOR is own inverse, just with correct round key • Designed to be as simple as possible

40. AES Key Expansion • Take 128-bit (16-byte) key and expand into array of 44/52/60 32-bit words • Start by copying key into first 4 words • Then loop creating words that depend on values in previous and 4 places back • in 3 of 4 cases just XOR these together • every 4th has S-box + rotate + XOR constant of previous before XOR together • Designed to resist known attacks

41. AES Decryption • AES decryption is not identical to encryption since steps done in reverse • But can define an equivalent inverse cipher with steps as for encryption • but using inverses of each step • with a different key schedule • Works since result is unchanged when • swap byte substitution & shift rows • swap mix columns and add (tweaked) round key

42. Implementation Aspects • Can efficiently implement on 8-bit CPU • byte substitution works on bytes using a table of 256 entries • shift rows is simple byte shifting • add round key works on byte XORs • mix columns requires matrix multiply in GF(28) which works on byte values, can be simplified to use a table lookup

43. Implementation Aspects • Can efficiently implement on 32-bit CPU • redefine steps to use 32-bit words • can precompute 4 tables of 256-words • then each column in each round can be computed using 4 table lookups + 4 XORs • at a cost of 16Kb to store tables • Designers believe this very efficient implementation was a key factor in its selection as the AES cipher

44. Next Class • Confidentiality of symmetric encryption • Asymmetric encryption: RSA • Read Chapters 7, 8, 9