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Factorizing RSA Keys

(An Improved Analogue Solution)

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Book cover Natural Computing

Part of the book series: Proceedings in Information and Communications Technology ((PICT,volume 1))

Abstract

Factorization is notoriously difficult. Though the problem is not known to be NP-hard, neither efficient, algorithmic solution nor technologically practicable, quantum-computer solution has been found. This apparent complexity, which renders infeasible the factorization of sufficiently large values, makes secure the RSA cryptographic system.

Given the lack of a practicable factorization system from algorithmic or quantum-computing models, we ask whether efficient solution exists elsewhere; this motivates the analogue system presented here. The system’s complexity is prohibitive of its factorizing arbitrary, natural numbers, though the problem is mitigated when factorizing n = pq for primes p and q of similar size, and hence when factorizing RSA keys.

Ultimately, though, we argue that the system’s polynomial time and space complexities are testament not to its power, but to the inadequacy of traditional, Turing-machine-based complexity theory; we propose precision complexity (defined in [3]) as a more relevant measure.

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References

  1. Adleman, L.M.: Molecular Computation of Solutions to Combinatorial Problems. Science 266, 1021–1024 (1994)

    Article  Google Scholar 

  2. Blakey, E.: An Analogue Solution to the Problem of Factorization. Oxford University Computing Science Research Report CS-RR-07-04 (2007), ftp://ftp.comlab.ox.ac.uk/pub/Documents/techreports/RR-07-04.pdf

  3. Blakey, E.: On the Computational Complexity of Physical Computing Systems. Unconventional Computing proceedings, pp. 95–115 (2007), http://users.ox.ac.uk/~quee1871/uc07_paper.pdf

  4. Blakey, E.: System and Method for Finding Integer Solutions. United States patent application 20070165313 (2007)

    Google Scholar 

  5. Blum, M.: A Machine-Independent Theory of the Complexity of Recursive Functions. J. of the Assoc. for Computing Machinery 14(2), 322–336 (1967)

    MATH  Google Scholar 

  6. Bovet, D.P., Crescenzi, P.: Introduction to the Theory of Complexity. Prentice Hall, Englewood Cliffs (1994)

    Google Scholar 

  7. Brent, R.P.: Recent Progress and Prospects for Integer Factorisation Algorithms. In: Du, D.-Z., Eades, P., Sharma, A.K., Lin, X., Estivill-Castro, V. (eds.) COCOON 2000. LNCS, vol. 1858, pp. 3–20. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  8. Church, A.: An Unsolvable Problem of Elementary Number Theory. American J. of Math. 58, 345–363 (1936)

    Article  MathSciNet  Google Scholar 

  9. Miehle, W.: Link-Length Minimization in Networks. Operations Research 6(2), 232–243 (1958)

    Article  MathSciNet  Google Scholar 

  10. Shor, P.W.: Polynomial Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer. SIAM J. Computing 26, 1484–1509 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  11. Sipser, M.: Introduction to the Theory of Computation. PWS (1997)

    Google Scholar 

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© 2009 Springer Tokyo

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Blakey, E. (2009). Factorizing RSA Keys. In: Suzuki, Y., Hagiya, M., Umeo, H., Adamatzky, A. (eds) Natural Computing. Proceedings in Information and Communications Technology, vol 1. Springer, Tokyo. https://doi.org/10.1007/978-4-431-88981-6_2

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  • DOI: https://doi.org/10.1007/978-4-431-88981-6_2

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-88980-9

  • Online ISBN: 978-4-431-88981-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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