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On Password Guessing with GPUs and FPGAs

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Technology and Practice of Passwords (PASSWORDS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9393))

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Abstract

Passwords are still by far the most widely used form of user authentication, for applications ranging from online banking or corporate network access to storage encryption. Password guessing thus poses a serious threat for a multitude of applications. Modern password hashes are specifically designed to slow down guessing attacks. However, having exact measures for the rate of password guessing against determined attackers is non-trivial but important for evaluating the security for many systems. Moreover, such information may be valuable for designing new password hashes, such as in the ongoing password hashing competition (PHC).

In this work, we investigate two popular password hashes, bcrypt and scrypt, with respect to implementations on non-standard computing platforms. Both functions were specifically designed to only allow slow-rate password derivation and, thus, guessing rates. We develop a methodology for fairly comparing different implementations of password hashes, and apply this methodology to our own implementation of scrypt on GPUs, as well as existing implementations of bcrypt and scrypt on GPUs and FPGAs.

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Notes

  1. 1.

    http://www.eia.gov/electricity/data/browser.

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Acknowledgements

This work was supported in part by the BMBF Project UNIKOPS (01BY1040) and the DFG Research Training Group GRK 1817/1.

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Authors and Affiliations

  1. Horst Görtz Institute for IT-Security (HGI), Ruhr University Bochum, Bochum, Germany

    Markus Dürmuth & Thorsten Kranz

Authors
  1. Markus Dürmuth
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  2. Thorsten Kranz
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Corresponding author

Correspondence to Thorsten Kranz .

Editor information

Editors and Affiliations

  1. Dept of Telematics, Norwegian Univ of Science & Tech, Trondheim, Norway

    Stig F. Mjølsnes

Appendices

A Full Runtime Listings for Hashcat

Table 7. Comparison of hashrates for our implementation and oclHashcat v1.31.
Full size table
Table 8. Hardware used to measure CPU runtimes.
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B Full Runtime Listings for the Benchmark CPUs

Table 9. Running times of PBKDF2 with HMAC and SHA-512 on CPUs (in ms).
Full size table
Table 10. Running times of scrypt (r=8, p=1) on CPUs (in ms).
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Table 11. Running times of bcrypt on CPUs (in ms).
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C Full Runtime Listings for Different Trade-Off Parameters for Scrypt

Table 12. Obtained hashrates for scrypt. Computed as interpolation of the nearest measurements.
Full size table

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Dürmuth, M., Kranz, T. (2015). On Password Guessing with GPUs and FPGAs. In: Mjølsnes, S. (eds) Technology and Practice of Passwords. PASSWORDS 2014. Lecture Notes in Computer Science(), vol 9393. Springer, Cham. https://doi.org/10.1007/978-3-319-24192-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-24192-0_2

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