Architectures Cloud Forensic Readiness: From A Formal Model To An Implementation.

Résumé: With the advent of social networks, some serious concerns naturally arise. Indeed, while the open nature of these networks constitutes a tremendous opportunity for people to share knowledge and information freely, some malicious actors may take advantage of this openness to mislead, or even harm others. The huge numbers of users and the ever growing volumes of exchanged data call for tools and methods that can help users know whom -and how much- to trust or distrust. This task has instigated many research efforts, yet unfortunately most of them fail to satisfy, at once, these must-have criteria: distrust handling (and prediction), performances, efficiency, and robustness to network sparsity. This thesis, and the various propositions made herein, aim to provide some novel and useful algorithms for trust (and distrust) prediction -algorithms that, besides being simple and intuitive, are up to the forecited challenges

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