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Because both the system’s privacy and the security of digital money depend on encryption, a breakthrough in mathematics or computer science that defeats.

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Presentation on theme: "Because both the system’s privacy and the security of digital money depend on encryption, a breakthrough in mathematics or computer science that defeats."— Presentation transcript:

1 Because both the system’s privacy and the security of digital money depend on encryption, a breakthrough in mathematics or computer science that defeats the cryptographic system could be a disaster. The obvious mathematical breakthrough would be development of an easy way to factor large prime numbers. Any person or organization possessing this power could counterfeit money, penetrate any personal, corporate, or government file, and possibly even undermine the security of nations. Bill Gates, The Road Ahead David Evans http://www.cs.virginia.edu/~evans CS588: Security and Privacy University of Virginia Computer Science Lecture 9: Security of RSA THE MAGIC WORDS ARE SQUEAMISH OSSIFRAGE.

2 26 Sept 2001University of Virginia CS 5882 Menu Finding Big Pseudo Primes Security of RSA –Factoring

3 26 Sept 2001University of Virginia CS 5883 Properties of E and D Trap-door one way function: 1. D (E (M)) = M 2. E and D are easy to compute. 3.Revealing E doesn’t reveal an easy way to compute D Trap-door one way permutation: also 4. E (D (M)) = M

4 26 Sept 2001University of Virginia CS 5884 Property 2: Easy to Compute We need large “random” primes p and q Are there enough primes? How can we find them?

5 26 Sept 2001University of Virginia CS 5885 How many prime numbers? Infinite (proved by Euclid, 300BC) Proof by contradiction: Suppose that there exist only finitely many primes p 1 < p 2 <... < p r. Let N = (p 1 )(p 2 )...(p r ) + 1 N > p r so it is composite, N = p * M If p = p i for some 1 … r, then, N = p i * M = p i * (p 1 )(p 2 )...(p i-1 ) (p i+1 )...(p r ) + 1 p i ( M - (p 1 )(p 2 )...(p i-1 ) (p i+1 )...(p r ) ) = 1 Contradiction: p i > 1 Hence, there must be infinitely many primes.

6 26 Sept 2001University of Virginia CS 5886 Density of Primes From http://www.utm.edu/research/primes/howmany.shtml  (x) is the number of primes  x

7 26 Sept 2001University of Virginia CS 5887 Approximating  (x) The Prime Number Theorem:  (x) ~ x/ln x –Difficult to prove (first conjectured by Legendre in 1798 by looking at table of values) How many guesses to find a prime bigger than x ? –About ln x/2 guesses (Naïvely) Each guess requires sqrt( x) work For 200 digits: 230 guesses * 10 100 –More work than breaking 3DES!

8 26 Sept 2001University of Virginia CS 5888 Need a faster prime test There are several fast probabilistic prime tests Can quickly test a prime with high probability, with a small amount of work If we pick a non-prime, its not a disaster (exercise for reader, will be on PS3)

9 26 Sept 2001University of Virginia CS 5889 Fermat Test Recall Fermat’s Little Theorem: If n is prime and a is not divisible by n then a n-1  1 mod n Prove n is composite by finding a n-1  1 mod n Showing a n-1  1 mod n does not prove it is prime But if it holds for many a’ s it is likely than n is prime –Holds for all a’ s for some non-primes known as Carmichael Numbers: 561, 645, 1105, …) Better prime test: Miller-Rabin –Probability n is prime  1 – ¼ k

10 26 Sept 2001University of Virginia CS 58810 Properties of E and D Trap-door one way function: 1. D (E (M)) = M 2. E and D are easy to compute. 3.Revealing E doesn’t reveal an easy way to compute D Trap-door one way permutation: also 4. E (D (M)) = M  

11 26 Sept 2001University of Virginia CS 58811 Property 4: E (D (M)) = M D(M) = M d mod n E(D(M)) = (M d mod n) e mod n = M de mod n = M ed mod n = M (from the property 1 proof)

12 26 Sept 2001University of Virginia CS 58812 Properties of E and D Trap-door one way function: 1. D (E (M)) = M 2. E and D are easy to compute. 3.Revealing E doesn’t reveal an easy way to compute D Trap-door one way permutation: also 4. E (D (M)) = M Are there other functions that have properties 1, 2 and 4?

13 26 Sept 2001University of Virginia CS 58813 RSA E(M) = M e mod n D(C) = C d mod n n = pqp, q are prime d is relatively prime to (p – 1)(q – 1) ed  1 (mod (p – 1)(q – 1))

14 26 Sept 2001University of Virginia CS 58814 Revealing E doesn’t reveal D Revealing E : e, n. Can attacker find D ? If attacker factors n = p * q ed  1 mod (p – 1)(q – 1) Easy to find d  e -1 mod (p – 1)(q – 1) Use experience to argue factoring is hard. Argue all other attacks are at least as hard as factoring n.

15 26 Sept 2001University of Virginia CS 58815 Gardner’s Column: Original RSA challenge ($100) n (RSA-129) = 1 1438 1625 7578 8886 7669 2357 7997 6146 6120 1021 8296 7212 4236 2562 5618 4293 5706 9352 4573 3897 8305 9712 3563 9587 0505 8989 0751 4759 9290 0268 7954 3541 e = 9007 C = 9686 9613 7546 2206 1477 1409 2225 4355 8829 0575 9991 1245 7431 9874 6951 2093 0816 2982 2514 5708 3569 3147 6622 8839 8962 8013 3919 9055 1829 9451 5781 5154 Scientific American, August 1977

16 26 Sept 2001University of Virginia CS 58816 40000000000000000  17 Ron Rivest (1977): factoring n (129 digits) would require at least 40 quadrillion years if you could do a * b mod c in one nanosecond. Derek Atkins (April 1994): We are happy to announce that RSA-129 = 3490 5295 1084 7650 9491 4784 9619 9038 9813 3417 7646 3849 3387 8439 9082 0577 * 3 2769 1329 9326 6709 5499 6198 8190 8344 6141 3177 6429 6799 2942 5397 9828 8533

17 26 Sept 2001University of Virginia CS 58817 Trial and Error Factoring Guess x, if 1 < gcd (x, n) < n then x is an interesting factor If p and q are similar size, lowest factor is around  n. –Requires O (  n ) divisions. –For RSA-129 = 1.1 * 10 64 divisions, 1 per nanosecond = 3.4 * 10 47 years

18 26 Sept 2001University of Virginia CS 58818 Pollard’s Rho Method Fastest known in 1977 [Pollard75] To find factor p, requires 4  p modular multiplies Worst case: lowest p is  n, we need 4  n multiplies For RSA-129 = 1.3 * 10 32 = 4 * 10 15 years Rivest probably used this, but made a math error (4 quadrilllion  40 quadrilllion)

19 26 Sept 2001University of Virginia CS 58819 How so Fast Better factoring algorithms Distributed computation Still can’t do a * b mod c in one nanosecond (not faster processors) –1ns = 10 -9 s –Best Pentium 4 today: 2 GHz (cycle =.5ns) –But, multiplying 100 digit numbers takes many cycles

20 26 Sept 2001University of Virginia CS 58820 Fermat Factoring Factor 8051 Hint: (½ (a + b)) 2 – (½(a – b)) 2 = ¼ (a 2 + 2ab + b 2 ) - ¼ (a 2 - 2ab + b 2 ) = ½ ab + ½ ab = ab 8051 = 8100 – 49 = 90 2 – 7 2 8051 = 97  83 ½ (83 + 97) = 90 ½ (83 – 97) = 7

21 26 Sept 2001University of Virginia CS 58821 Fermat Factoring Any odd composite integer can be written as n = u 2 - v 2 To factor n, start looking for u and v around  n Is this less work than trial and error division? No, only in lucky cases where factor is near  n

22 26 Sept 2001University of Virginia CS 58822 Kraitchik’s Enhancement Instead of looking for u and v such that n = u 2 - v 2 look for any multiple of n : n = ( u 2 - v 2 ) k or: u 2  v 2 mod n Some solutions uninteresting: u   v mod n Others (½) are interesting: u  v mod n n divides u 2 - v 2 = ( u – v) ( u + v) but not ( u – v) or ( u + v) gcd (u – v, n) and gcd (u + v, n) are factors of n

23 26 Sept 2001University of Virginia CS 58823 Kraitchik, cont. For x’s near  n Q(x) = x 2 – n Try to find x’s where: Q(x 1 ) Q(x 2 ) …Q(x k ) = v 2 x 1 x 2 …x k = u Then, x 1 2 x 2 2 …x k 2 = u 2  ( x 1 2 – n) … ( x k 2 – n) mod n  v 2 mod n But, how do we find the x’s?

24 26 Sept 2001University of Virginia CS 58824 Finding the x’s Some of the Q(x)’s are easy to factor From these, find products that are squares n = 2041 46 2 = 2116 Q(46) = 75 = 3  5 2 Q(47) = 168 = 2 3  3  7 Q(48) = 263 (hard to factor) Q(49) = 360 = 2 3  3 2  5 Q(50) = 459 = 3 3  17 Q(51) = 560 = 2 4  5  7 Q(46) Q(47) Q(49) Q(51) = 2 3+3+4  3 4  5 4  7 2 = (2 5  3 2  5 2  7) 2 Example from [Pomerance96] Looking for: Q(x 1 ) Q(x 2 ) …Q(x k ) = v 2 x 1 x 2 …x k = u

25 26 Sept 2001University of Virginia CS 58825 Finding the Factors Q(46) Q(47) Q(49) Q(51) = (2 5  3 2  5 2  7) 2  v 2 u = 46  47  49  51 = 311 mod 2041 v = 2 5  3 2  5 2  7 = 1416 mod 2041 u 2 = v 2 mod 2041 311  1416 mod 2041 So, gcd (1416 – 311, 2041) is a factor of 2041. gcd (1105, 2041) = gcd (2041, 1105) = gcd (2041, 1105 mod 2041) = gcd (1105, 2041 mod 1105) = gcd (1105, 936) = gcd (936, 1105 mod 936) = gcd (936, 169) = gcd (169, 936 mod 169) = gcd (169, 91) = gcd (91, 169 mod 91) = gcd (91, 78) = gcd (78, 91 mod 78) = gcd (78, 13) = gcd (13, 78 mod 13) = gcd (13, 13) = 13

26 26 Sept 2001University of Virginia CS 58826 Factoring Pragmatics Conjectured to take e sqrt(2 log n log log n) steps to factor n. Quadratic Sieve Factoring –Improved Kraitchik’s algorithm to choose likely good values for x ’s –Complexity: e sqrt(log n log log n) –How much bigger numbers can it factor? Twice as many digits in same time!

27 26 Sept 2001University of Virginia CS 58827 Breaking RSA-129 Organized by Derek Atkins and others, 1994 Quadratic Sieve algorithm Memory-limited (1994 – most workstations 16MB RAM), used 10M to hold.5M primes Recruited volunteers from Internet 1600 machines Used 5000 MIPS years over 8 months

28 26 Sept 2001University of Virginia CS 58828 To factor r [RSA-129] we assembled the largest collaboration yet seen in computational number theory and, possibly, performed the largest single computation ever completed. In several important respects, the resources we had available were barely adequate for the task. Consequently, ingenuity and diplomacy were required for the successful completion of the project. Derek Atkins, Michael Graff, et. al., The Magic Words Are Squeamish Ossifrage, AsiaCrypt 1994.

29 26 Sept 2001University of Virginia CS 58829 Recent Factoring Algorithms Team from CWI (Amsterdam) factored RSA-155 (512 bits), August 1999 Number Field Sieve (Sneakers) ~8000 MIPS years (36 CPU years) 7 months on ~300 machines Lecture 1: factor 300 digit number for automatic A. How much harder is this?

30 26 Sept 2001University of Virginia CS 58830 RSA Security Factoring is hard (except in Sneakers) Is this enough to know RSA is secure? Can you compute D without factoring n ? –Probably not, but can’t prove it. –But, can prove other obvious mathematical attacks are equivalent to factoring.

31 26 Sept 2001University of Virginia CS 58831  (n) without factoring Calculate  (n) without factoring n. ed  1 mod  (n) Equivalent to factoring:  (n) = (p – 1)(q – 1) = n – (p + q) + 1 p + q = n –  (n) – 1 p – q = sqrt ((p + q) 2 – 4n) [next slide] 2p = sqrt ((n –  (n) –1) 2 – 4n) + n –  (n) –1 If we know  (n) we can calculate p and q easily.

32 26 Sept 2001University of Virginia CS 58832 p – q = sqrt ((p + q) 2 – 4n) (p – q) 2 = p 2 – 2pq + q 2 = p 2 + q 2 – 2n (p + q) 2 = p 2 + q 2 + 2n (p – q) 2 = (p + q) 2 – 4n p – q = sqrt ((p + q) 2 – 4n)

33 26 Sept 2001University of Virginia CS 58833 Determine d without  (n) Brute force: m digits long, amount of work is 10 m. –Try 1T/second (special purpose hardware) –Will take 3*10 30 years for m = 50. –For factoring difficulty, m > 100. (Bigger than AES key) Non-brute force: knowing d enables factoring.

34 26 Sept 2001University of Virginia CS 58834 Determining d  factoring ed = 1 mod  (n) k *  (n) = ed – 1 Already showed, finding  (n) is same as factoring. Also true for multiple of  (n).

35 26 Sept 2001University of Virginia CS 58835 Properties of RSA’s E and D Trap-door one way function: D (E (M)) = M E and D are easy to compute. Revealing E doesn’t reveal an easy way to compute D Trap-door one way permutation: also E (D (M)) = M

36 26 Sept 2001University of Virginia CS 58836 Applications of RSA Privacy: –Bob encrypts message to Alice using E A –Only Alice knows D A Signatures: –Alice encrypts a message to Alice using D A –Bob decrypts using E A –Knows it was from Alice, since only Alice knows D A Things you use every day: ssh, SSL, DNS, etc. More than 400,000,000 copies of the RSA algorithm are currently installed

37 26 Sept 2001University of Virginia CS 58837 Two “Questionable” Statements in RSA Paper “(The NBS scheme (DES) is probably somewhat faster if special-purposed hardware encryption devices are used; our scheme may be faster on a general-purpose computer since multiprecision arithmetic operations are simpler to implement than complicated bit manipulations.)” (p. 4)

38 26 Sept 2001University of Virginia CS 58838 Two “Questionable” Statements in RSA Paper “The need for a courier between every pair of users has thus been replaced by the requirement for a single secure meeting between each user and the public file manager when the user joins the system.” (p. 6)

39 26 Sept 2001University of Virginia CS 58839 Who really invented RSA? General Communications HQ, Cheltenham (formed from Bletchley Park after WWII) 1969 – James Ellis asked to work on key distribution problem Secure telephone conversations by adding “noise” to line: –Receiver could add the noise and subtract it –No need for sender to have key! Late 1969 – idea for PK, but no function Clifford Cocks invented function (RSA)

40 26 Sept 2001University of Virginia CS 58840 Charge Next time: what to do about all those couriers! Project Pre-Proposals due Monday They should include: –Clear topic description and plan: the more details you can provide on what you plan to do, the better feedback I can provide –Related Work Summary of what you have found so far Reading list: things you plan to read next


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