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Numerical Evaluation of the Average Number of Successive Guesses

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Unconventional Computation and Natural Computation (UCNC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7445))

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Abstract

This work has been inspired by problems addressed in the field of computer security, where the attacking of, e.g., password systems is an important issue. In [2] Lundin et al. discuss measures related to the number of guesses or attempts a supposed attacker needs for revealing information. Here several numerical approaches are discussed for evaluating the average number of successive guesses required for correctly guessing the value of a string of independent and identically-distributed random variables. The guessing strategy used is guessing strings in decreasing order of probability [1].

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References

  1. Arikan, E.: An Inequality on Guessing and its Application to Sequential Decoding. IEEE Transactions on Information Theory 42(1), 99–105 (1996)

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  2. Lundin, R., Lindskog, S., Brunström, A., Fischer-Hübner, S.: Using guesswork as a measure for confidentiality of selectivly encrypted messages. Advances in Information Security 23(pt. 4), 173–184 (2006)

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© 2012 Springer-Verlag Berlin Heidelberg

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Andersson, K. (2012). Numerical Evaluation of the Average Number of Successive Guesses. In: Durand-Lose, J., Jonoska, N. (eds) Unconventional Computation and Natural Computation. UCNC 2012. Lecture Notes in Computer Science, vol 7445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32894-7_22

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  • DOI: https://doi.org/10.1007/978-3-642-32894-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32893-0

  • Online ISBN: 978-3-642-32894-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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