Titlebook: Surrogate Motherhood Families; Olga B.A. van den Akker Book 2017 The Editor(s) (if applicable) and The Author(s) 2017 Family.Surrogate.Par

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k could be used in an attack to reach specific states or goals in the network. These graphs can be understood probabilistically by turning them into Bayesian attack graphs (BAGs), making it possible to quantitatively analyse the security of large networks. In the event of an attack, probabilities on

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Olga B. A. van den Akkerl activities, and thus encrypted traffic detection technology is one of the important means to prevent malicious attacks in advance. The existing methods based on machine learning cannot get rid of the artificial dependence of feature selection. Moreover, deep learning methods ignore the hierarchica

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Olga B. A. van den Akkertion traffic protects the privacy of users to a certain extent, it also brings great challenges to network management and supervision. At present, many researches use machine learning or deep learning to classify encrypted traffic, but most of them only focus on single granularity classification tas

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Olga B. A. van den Akker When we became interested in the field of crystal structure determination, the familiarity with non-negativity which was needed in the study of gases, led to a search for the necessary and sufficient condition for a Fourier series to be non-negative. The search was successful and has played an impo

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hematical approach and the utilization of experience with gas-phase electron diffraction. The reviews by Herbert Hauptman, Jerome and Isabella Karle, and David Sayre reach to the present day in assessing the possibilities of X-ray crystallography. Another focus topic is the investigation of systems

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