An Automated End-to-End Side Channel Analysis Based on Probabilistic Model
暂无分享,去创建一个
[1] É. Moulines,et al. Least‐squares Estimation of an Unknown Number of Shifts in a Time Series , 2000 .
[2] Marc Lavielle,et al. Optimal segmentation of random processes , 1998, IEEE Trans. Signal Process..
[3] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[4] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[5] Olivier Markowitch,et al. Power analysis attack: an approach based on machine learning , 2014, Int. J. Appl. Cryptogr..
[6] Donald W. Bouldin,et al. A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Ioannis K. Dassios,et al. Bayesian optimal control for a non-autonomous stochastic discrete time system , 2016, Appl. Math. Comput..
[8] Tim Güneysu,et al. Applications of machine learning techniques in side-channel attacks: a survey , 2019, Journal of Cryptographic Engineering.
[9] Marc Lavielle,et al. An application of MCMC methods for the multiple change-points problem , 2001, Signal Process..