117,372 research outputs found

    Delirio

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    Modeling Adversarial Behavior Against Mobility Data Privacy

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    Privacy risk assessment is a crucial issue in any privacy-aware analysis process. Traditional frameworks for privacy risk assessment systematically generate the assumed knowledge for a potential adversary, evaluating the risk without realistically modelling the collection of the background knowledge used by the adversary when performing the attack. In this work, we propose Simulated Privacy Annealing (SPA), a new adversarial behavior model for privacy risk assessment in mobility data. We model the behavior of an adversary as a mobility trajectory and introduce an optimization approach to find the most effective adversary trajectory in terms of privacy risk produced for the individuals represented in a mobility data set. We use simulated annealing to optimize the movement of the adversary and simulate a possible attack on mobility data. We finally test the effectiveness of our approach on real human mobility data, showing that it can simulate the knowledge gathering process for an adversary in a more realistic way

    Human mobility from theory to practice: Data, models and applications

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    The inclusion of tracking technologies in personal devices opened the doors to the analysis of large sets of mobility data like GPS traces and call detail records. This tutorial presents an overview of both modeling principles of human mobility and machine learning models applicable to specific problems. We review the state of the art of five main aspects in human mobility: (1) human mobility data landscape; (2) key measures of individual and collective mobility; (3) generative models at the level of individual, population and mixture of the two; (4) next location prediction algorithms; (5) applications for social good. For each aspect, we show experiments and simulations using the Python library "scikit-mobility" developed by the presenters of the tutorial

    Ariele

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    Traduzione di Diego Símini; edizione a cura di Martha L. Canfield, Firenze, Aline

    Rojas Zorrilla en Italia en el siglo XVII. El caso de "Persiles e Sigismonda"

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    Se estudia la versión italiana del XVII, conservada en un manuscrito, de la obra teatral "Persiles y Segismunda" de Francisco de Rojas Zorrilla, a su vez inspirada en la novela, de igual título, de Cervante
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