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Estimating entropy of random processes is one of the fundamental problems of machine learning and property testing. It has numerous applications to anything from DNA testing and predictability of huma...
Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several f...
We introduce a Markov-model-based framework for Moving Target Defense (MTD) analysis. The framework allows modeling of a broad range of MTD strategies, provides general theorems about how the probabil...
In order to remember long passwords, it is not uncommon users are recommended to create a sentence which then is assembled to form a long password, a passphrase. However, theoretically a language is v...
In 2000 Ko gave potential hard problem is proposed called the Markov problem. We give an algorithm, for certain parameters, for solution of the Markov problem. The Markov problem is related to the k...
Session key agreement protocol using smart card is extremely popular in clientserver environment for secure communication. Remote user authentication protocol plays a crucial role in our daily life ...
About three decades ago it was realized that implementing private channels between parties which can be adaptively corrupted requires an encryption scheme that is secure against selective opening at...

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