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On the Hardness of the Mersenne Low Hamming Ratio Assumption

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Progress in Cryptology – LATINCRYPT 2017 (LATINCRYPT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11368))

Abstract

In a recent paper [1], Aggarwal, Joux, Prakash, and Santha (AJPS) describe an ingenious public-key cryptosystem mimicking NTRU over the integers. This algorithm relies on the properties of Mersenne primes rather than polynomial rings. The security of the AJPS cryptosystem relies on the conjectured hardness of the Mersenne Low Hamming Ratio Assumption, defined in [1].

This work shows that AJPS’ security estimates are too optimistic and describes an algorithm allowing to recover the secret key from the public key much faster than foreseen in [1].

In particular, our algorithm is experimentally practical (within the reach of the computational capabilities of a large organization), at least for the parameter choice \(\{n=1279,h=17\}\) conjectured in [1] as corresponding to a \(2^{120}\) security level. The algorithm is fully parallelizable.

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Notes

  1. 1.

    That is, the length of a number, once its leading zeros are discarded.

  2. 2.

    \(1279-\sigma (1279,17)\approx 75\) bits.

  3. 3.

    Since n is odd, we must accept a ± 1 excess.

  4. 4.

    There is room for improvement here as well, since rejection sampling is a very inefficient approach. Nevertheless it will be sufficient for our discussion, and any approach to generating such partitions would work without impacting the analysis.

  5. 5.

    We ignore the fact that we sample without replacement here, as \(h \ll n\). Under this conservative approximation, all the bits are sampled uniformly and independently, and may fall with probably 1/2 either in a type 0 or a type 1 block.

  6. 6.

    Other implementations are of course possible and do not affect the analysis. For other classical sampling without replacement algorithms, the reader may consult [5].

  7. 7.

    Experiments with random partitions show that this number is quite variable and follows a Poisson distribution, with a correct partition being typically found earlier, with an average of \(2^{17}\) tries.

References

  1. Aggarwal, D., Joux, A., Prakash, A., Santha, M.: A new public-key cryptosystem via Mersenne numbers. Cryptology ePrint Archive, Report 2017/481 (2017). http://eprint.iacr.org/2017/481

  2. Joux, A.: Algorithmic Cryptanalysis. CRC Press, Boca Raton (2009)

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  3. Lenstra, A.K., Lenstra, H.W., Lovász, L.: Factoring polynomials with rational coefficients. Math. Ann. 261(4), 515–534 (1982)

    Article  MathSciNet  Google Scholar 

  4. Nguyen, P.Q., Stern, J.: The two faces of lattices in cryptology. In: Silverman, J.H. (ed.) CaLC 2001. LNCS, vol. 2146, pp. 146–180. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44670-2_12

    Chapter  MATH  Google Scholar 

  5. Stanton, D., White, D.: Constructive Combinatorics. Springer Science & Business Media, Berlin (2012)

    MATH  Google Scholar 

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Correspondence to Aisling Connolly .

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Beunardeau, M., Connolly, A., Géraud, R., Naccache, D. (2019). On the Hardness of the Mersenne Low Hamming Ratio Assumption. In: Lange, T., Dunkelman, O. (eds) Progress in Cryptology – LATINCRYPT 2017. LATINCRYPT 2017. Lecture Notes in Computer Science(), vol 11368. Springer, Cham. https://doi.org/10.1007/978-3-030-25283-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-25283-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25282-3

  • Online ISBN: 978-3-030-25283-0

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