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Estimation of the Success Probability of Random Sampling by the Gram-Charlier Approximation
public-key cryptography lattice techniques
2018/11/19
The lattice basis reduction algorithm is a method for solving the Shortest Vector Problem (SVP) on lattices. There are many variants of the lattice basis reduction algorithm such as LLL, BKZ, and RSR....
On Non-Monotonicity of the Success Probability in Linear Cryptanalysis
Linear cryptanalysis success probability non-monotonicity
2018/5/28
Like any other cryptanalytic attack, the success rate of a linear attack is expected to improve as more data becomes available. Bogdanov and Tischhauser (FSE 2013) made the rather surprising claim tha...
Success Probability of Multiple/Multidimensional Linear Cryptanalysis Under General Key Randomisation Hypotheses
multidimensional linear cryptanalysis multiple linear cryptanalysis chi-squared distribution
2017/8/1
This work considers statistical analysis of attacks on block ciphers using several linear approximations. A general and unified approach is adopted. To this end, the general key randomisation hypothes...
Another Look at Success Probability in Linear Cryptanalysis
linear cryptanalysis success probability data complexity
2017/5/8
This work studies the success probability of linear cryptanalysis. Complete expressions for the success probability are obtained using two different approaches, namely the order statistics and the hyp...
Golden Ratio estimate of success probability based on one and only sample
Golden ratio Bayes estimate Unique sample Triangle prior
2012/9/19
This paper proposes iterative Bayesian method to estimate success probability based on unique sample. The procedure is replacing the distribution characteristic of prior with Bayes estimate on the eve...
The effect of success probability on test economy and self-confidence in computerized adaptive tests
adaptive testing test economy success probability test taking motivation
2009/12/21
Recent research on the psychological effects of different design decisions in computerized adaptive tests indicates that the maximum-information item selection rule fails to optimize respondents’ test...