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In Information-Centric Networks (ICN), contents are cached on some intermediary routers. This creates thus a new situation which is totally different from the traditional path-selection paradigm: the source/destination paradigm no longer exists; instead, the new paradigm is how to find a path through a selected group of caches, so that the content is delivered via the shortest way. This paper addresses...
AS the unique nonlinear structure in most block ciphers, S-box accounts for the AES algorithm's security. Firstly, this paper introduces the cryptographic properties of the S box. Then a detail analysis of the avalanche effect of the AES S box and inverse S box are made. Lastly, the paper indicates that AES S box and inverse S box indeed have the good avalanche effect by detailed data.
Positive and unlabeled learning (PU Learning) is a special semi-supervise learning method. Its most important feature is that training set only includes two parts: positive examples and unlabeled examples. Many real-world classification applications appeal to PU Learning problem. The K-means++ clustering algorithm proposed a new seeding method. This paper describes a semi-supervised learning algorithm...
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