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Integer Factorization ProblemPowerPoint Presentation

Integer Factorization Problem

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Presentation Transcript

Outline

- Cryptography & Number Theory
- RSA
- Integer Factorization Problem
- Complexity
- Q&A

Private Key Cryptography

- Been in use for the last few thousand years.
- Everyone uses the same secret key for encryption and decryption.
- Issues
- Key leaked => broken security.
- Impersonation is possible.
- How to distribute the key securely?
- Knowledge of the algorithm usually allows an attacker to guess the key.

Public Key Cryptography

- Introduced by Diffie & Hellman in 1976.
- Most significant paradigm shift in a few thousand years.
- Features
- Each user has two keys (a public key and a private key)
- The algorithm is public knowledge.
- Knowledge of the algorithm does not help an attacker.

Requirements for PKC

- Anyone can quickly encrypt messages for A using his public key.
- Only A can quickly decrypt messages.
- It must be hard for anyone else to decrypt messages intended for A in a reasonable amount of time.
- (3) guarantees security.
- Also implies the need for computationally hard problems.

Number Theory Stuff

- Prime Numbers
- Integers that have no positive factors except themselves and 1.

- Composite Numbers
- Integers that have at least one non-trivial factor except themselves and 1.

- Co-prime or Relatively Prime
- Two integers a and b are co-prime iff GCD(a, b)=1.

- GCD(a, b) = Largest integer that completely divides both a and b.
- Euclid’s algorithm can be used to compute GCD.

More Number Theory

- Euler’s Totient function
- ɸ(n) = Count of numbers < n that are co-prime to n

- If n is prime
- ɸ(n) = n-1

- If n is composite (e.g. n=p . q)
- ɸ(n) = ɸ(p . q) = ɸ(p).ɸ(q) = (p-1).(q-1)
- p and q must be co-prime.

- Euler’s Theorem
- Given a number n, ∀a ∈ {1, 2, 3,…., n-1}
- GCD(a, n)=1 => aɸ(n) mod n = 1

RSA

- Invented by Rivest, Shamir & Adleman in 1978.
- Public key cryptosystem based on the Integer Factorization problem.
- Very Popular
- One of the first to support Digital Signatures.

RSA – Key Generation

- Every user
- Picks two large random prime numbers (p, q)
- Computes n = p . q
- Computes ɸ(n) = (p-1).(q-1)
- Picks a random integer e
- 1 < e < ɸ(n)
- GCD(ɸ(n),e) = 1

- Computes d = e-1mod ɸ(n)

- Public Key = (n, e)
- Secret Key = (ɸ(n),d)

Encryption/Decryption

- Encryption (raise M to the eth power in mod n)
- C = Memod n

- Decryption (raise C to the dth power in mod n)
- M = Cdmod n

- Works because e & d are inverses
- e.d = 1 mod ɸ(n) => e.d = 1 + k.ɸ(n)
- (Me)dmod n
- = (M)1+ k.ɸ(n) mod n
- = M(Mk)ɸ(n) mod n = M mod n

Breaking RSA

- Public knowledge = (n, e)
- Secret knowledge = (ɸ(n), d)
- d cannot be computed without knowing ɸ(n).
- Recall that d=e-1 mod ɸ(n)

- An attacker must compute ɸ(n) given only n.
- Need to factorize n into its prime factors.

Integer Factorization

- Stated as a search problem
- Given an integer n, find its prime factors.

- Brute-force approach
- For ∀ 2 ≤ si ≤ √n, Verify if si divides n.

- Need to consider at most √n numbers for division.
- Using k-bits => 2k/2 possibilities.
- Given a 150-bit number and a PFLOPS capable supercomputer, time needed ≈ 1 year
- RSA typically uses ~ 1000 bits for its numbers.

Congruence of Squares

- To factorize N, choose numbers a, b that satisfy
- a2 ≡ b2 mod N
- a ≢ ±b mod N

- N divides (a-b)(a+b) but neither (a-b) nor (a+b)
- either (a+b) or (a-b) should have a factor in common with N.

- Compute GCD(a±b, N) to find factor.
- The trick is how to quickly come up with suitable a,b.
- Most efficient known algorithm is General Number Field Sieve.
- For a b-bit integer, runtime is O(e(c(∛b)(∛(log b)²))
- Current Record: in November 2005, a 640-bit integer was factored in 5 months. (www.rsalabs.com)

Integer Factorization

- Integer Factorization as a Decision Problem,
- Given two integers A, k
- Does there exist a prime number p such that
- 2 ≤ p ≤ k
- p completely divides A.

- “YES” instance => we can find a prime number p that satisfies the above requirements
- “NO” instance => we cannot find any prime number that satisfies above requirements.

Complexity

- Clearly Integer Factorization is in NP.
- Witness: An Oracle provides the factor p.
- Verify that p is prime AND 2 ≤ p ≤ k
- Verify that p is a factor of n.

- Witness: An Oracle provides the factor p.
- Also in Co-NP
- Witness: An Oracle provides all prime numbers < k
- Verify that each is indeed prime.
- Verify that none of them completely divide n.

- Witness: An Oracle provides all prime numbers < k
- Integers can be tested for primality in polynomial time. [Agarwal et al 2002]

Is it NP-Complete?

- Unknown
- What if it is NP-Complete?
- Its complement will be Co-NP Complete.
- ∀p ∈ NP, p ⇨ Integer Factorization
- Therefore NP ⊆ Co-NP
- ∀pc ∈ Co-NP, pc ⇨ (Integer Factorization)c
- Therefore Co-NP ⊆ NP

- ergo Co-NP = NP

What if it’s not polynomial

- Suppose the best possible algorithm for Integer Factorization is exponential.
- It follows that P != NP
- A problem exists in NP that does not have a polynomial algorithm.

- But if it is polynomial, tough luck
- Cannot say anything about “P=NP?”
- Will break RSA in its current form though.

Conclusion

- Integer Factorization lies in NP, but we don’t know exactly how hard it is.
- The best known algorithm (given classical computers) runs in exponential time.
- In 1994, Peter Shor invented a Quantum Computing Algorithm for factorization.
- Runs in O(b3) time and needs O(b) storage for a b-bit integer.
- Tested in 2001 using Quantum Computer with 7 q-bits. Factorized 15 into 3 and 5. (Wikipedia)

References

- Arjen K Lenstra, Integer Factoring, Designs, Codes and Cryptography, 19, 101–128 (2000)
- Jorg Rothe, Some Facets of Complexity Theory and Cryptography: A Five Lecture Tutorial, ACM Computing Surveys, Vol. 34, No. 4, December 2002, pp. 504–549
- Manindra Agrawal, Neeraj Kayal, Nitin Saxena, "PRIMES is in P", Annals of Mathematics 160 (2004), no. 2
- RIVEST, R., SHAMIR, A., AND ADLEMAN, L. 1978. A method for obtaining digital signature and public-key cryptosystems. Commun. ACM, 21, 2 (Feb.), 120–126, pp. 781–793
- Neal Koblitz, A Course in Number Theory and Cryptography, 2nd Edition, Springer-Verlag 1994

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